Triple
T10514091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malte Grunert |
E247986
|
entity |
| Predicate | nominatedFor |
P1791
|
FINISHED |
| Object |
Academy Award for Best Picture (as producer of All Quiet on the Western Front)
The Academy Award for Best Picture (as producer of All Quiet on the Western Front) is the Oscar nomination recognizing Malte Grunert’s role in producing the acclaimed anti-war film adaptation of Erich Maria Remarque’s novel.
|
E870855
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Award for Best Picture (as producer of All Quiet on the Western Front) | Statement: [Malte Grunert, nominatedFor, Academy Award for Best Picture (as producer of All Quiet on the Western Front)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture (as producer of All Quiet on the Western Front) Context triple: [Malte Grunert, nominatedFor, Academy Award for Best Picture (as producer of All Quiet on the Western Front)]
-
A.
Academy Award for Best Picture (as producer of Platoon)
The Academy Award for Best Picture (as producer of Platoon) is the Oscar given to recognize the producers of the 1986 Vietnam War film "Platoon" as the year's outstanding motion picture.
-
B.
Academy Award for Best Picture (as producer of Minari)
The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
-
C.
Academy Award for Best Picture (as co-writer of The Shape of Water, film winning)
The Academy Award for Best Picture is the Oscars’ top honor, recognizing the overall excellence of a feature film and its producers.
-
D.
Academy Award for Best Picture (for Slumdog Millionaire, as co-producer)
The Academy Award for Best Picture (for Slumdog Millionaire, as co-producer) is the Oscar recognizing the film "Slumdog Millionaire" as the year's outstanding motion picture, shared among its producing companies including Celador Films.
-
E.
Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film)
The Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film) is the Oscar given to the film "Driving Miss Daisy," recognizing it as the year's best motion picture, with Bruce Beresford serving as its director.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Academy Award for Best Picture (as producer of All Quiet on the Western Front) Triple: [Malte Grunert, nominatedFor, Academy Award for Best Picture (as producer of All Quiet on the Western Front)]
Generated description
The Academy Award for Best Picture (as producer of All Quiet on the Western Front) is the Oscar nomination recognizing Malte Grunert’s role in producing the acclaimed anti-war film adaptation of Erich Maria Remarque’s novel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture (as producer of All Quiet on the Western Front) Target entity description: The Academy Award for Best Picture (as producer of All Quiet on the Western Front) is the Oscar nomination recognizing Malte Grunert’s role in producing the acclaimed anti-war film adaptation of Erich Maria Remarque’s novel.
-
A.
Academy Award for Best Picture (as producer of Platoon)
The Academy Award for Best Picture (as producer of Platoon) is the Oscar given to recognize the producers of the 1986 Vietnam War film "Platoon" as the year's outstanding motion picture.
-
B.
Academy Award for Best Picture (as producer of Minari)
The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
-
C.
Academy Award for Best Picture (as co-writer of The Shape of Water, film winning)
The Academy Award for Best Picture is the Oscars’ top honor, recognizing the overall excellence of a feature film and its producers.
-
D.
Academy Award for Best Picture (for Slumdog Millionaire, as co-producer)
The Academy Award for Best Picture (for Slumdog Millionaire, as co-producer) is the Oscar recognizing the film "Slumdog Millionaire" as the year's outstanding motion picture, shared among its producing companies including Celador Films.
-
E.
Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film)
The Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film) is the Oscar given to the film "Driving Miss Daisy," recognizing it as the year's best motion picture, with Bruce Beresford serving as its director.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cade0c81908fcbd54a90106bf9 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933e4ae048190be51a02c571fab8b |
completed | April 10, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69d93802a4488190aa86ae209650d4e7 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d938fcc3c48190a4acaaf75c1aa304 |
completed | April 10, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:27 p.m.