Triple
T13351839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Ellison |
E318087
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Academy Award for Best Picture nomination (as producer of Her)
The Academy Award for Best Picture nomination (as producer of Her) recognizes Megan Ellison’s role in producing the acclaimed 2013 science-fiction romantic drama "Her," directed by Spike Jonze.
|
E1034759
|
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 nomination (as producer of Her) | Statement: [Megan Ellison, awardReceived, Academy Award for Best Picture nomination (as producer of Her)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture nomination (as producer of Her) Context triple: [Megan Ellison, awardReceived, Academy Award for Best Picture nomination (as producer of Her)]
-
A.
Academy Award for Best Picture for Juno (as producer)
The Academy Award for Best Picture for *Juno* (as producer) is a nomination recognizing the film *Juno* as one of the year’s outstanding motion pictures, honoring its producers for overall excellence in filmmaking.
-
B.
Academy Award for Best Picture (Finding Neverland, as producer)
The Academy Award for Best Picture (Finding Neverland, as producer) is the Oscar nomination recognizing the film "Finding Neverland" as one of the year's outstanding motion pictures, specifically honoring its producers for their work on the film.
-
C.
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.
-
D.
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.
-
E.
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.
- 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 nomination (as producer of Her) Triple: [Megan Ellison, awardReceived, Academy Award for Best Picture nomination (as producer of Her)]
Generated description
The Academy Award for Best Picture nomination (as producer of Her) recognizes Megan Ellison’s role in producing the acclaimed 2013 science-fiction romantic drama "Her," directed by Spike Jonze.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture nomination (as producer of Her) Target entity description: The Academy Award for Best Picture nomination (as producer of Her) recognizes Megan Ellison’s role in producing the acclaimed 2013 science-fiction romantic drama "Her," directed by Spike Jonze.
-
A.
Academy Award for Best Picture for Juno (as producer)
The Academy Award for Best Picture for *Juno* (as producer) is a nomination recognizing the film *Juno* as one of the year’s outstanding motion pictures, honoring its producers for overall excellence in filmmaking.
-
B.
Academy Award for Best Picture (Finding Neverland, as producer)
The Academy Award for Best Picture (Finding Neverland, as producer) is the Oscar nomination recognizing the film "Finding Neverland" as one of the year's outstanding motion pictures, specifically honoring its producers for their work on the film.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204b6f108190bca6a0140620e03e |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720fbf0bc81908c68cf2844938e45 |
completed | May 3, 2026, 10:18 a.m. |
Created at: April 9, 2026, 9:32 p.m.