Triple
T11173859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Jøhnk Nielsen |
E264353
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Academy Award for Best Foreign Language Film (as part of film cast, for "In a Better World")
The Academy Award for Best Foreign Language Film is an Oscar category honoring feature-length movies produced outside the United States with primarily non-English dialogue, with "In a Better World" being one such winning film.
|
E908585
|
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 Foreign Language Film (as part of film cast, for "In a Better World") | Statement: [William Jøhnk Nielsen, awardReceived, Academy Award for Best Foreign Language Film (as part of film cast, for "In a Better World")]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Foreign Language Film (as part of film cast, for "In a Better World") Context triple: [William Jøhnk Nielsen, awardReceived, Academy Award for Best Foreign Language Film (as part of film cast, for "In a Better World")]
-
A.
Golden Globe Award for Best Foreign Language Film nomination
The Golden Globe Award for Best Foreign Language Film nomination is a prestigious recognition by the Hollywood Foreign Press Association honoring outstanding non-English-language films from around the world.
-
B.
Academy Award for Best Foreign Language Film (for Amarcord film)
The Academy Award for Best Foreign Language Film (for Amarcord film) is the Oscar given to Federico Fellini’s Italian comedy-drama "Amarcord" in recognition of it as the year’s outstanding non-English-language feature.
-
C.
Honorary Foreign Language Film Award
The Honorary Foreign Language Film Award was a special Academy recognition given to outstanding non-English-language films before the establishment of the competitive Oscar category for international features.
-
D.
Best Foreign Film
Best Foreign Film is a Genie Award category recognizing outstanding motion pictures produced outside of Canada.
-
E.
David di Donatello for Best Foreign Film
The David di Donatello for Best Foreign Film is an Italian film award presented annually to honor the most outstanding non-Italian feature released in Italy.
- 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 Foreign Language Film (as part of film cast, for "In a Better World") Triple: [William Jøhnk Nielsen, awardReceived, Academy Award for Best Foreign Language Film (as part of film cast, for "In a Better World")]
Generated description
The Academy Award for Best Foreign Language Film is an Oscar category honoring feature-length movies produced outside the United States with primarily non-English dialogue, with "In a Better World" being one such winning film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Foreign Language Film (as part of film cast, for "In a Better World") Target entity description: The Academy Award for Best Foreign Language Film is an Oscar category honoring feature-length movies produced outside the United States with primarily non-English dialogue, with "In a Better World" being one such winning film.
-
A.
Golden Globe Award for Best Foreign Language Film nomination
The Golden Globe Award for Best Foreign Language Film nomination is a prestigious recognition by the Hollywood Foreign Press Association honoring outstanding non-English-language films from around the world.
-
B.
Academy Award for Best Foreign Language Film (for Amarcord film)
The Academy Award for Best Foreign Language Film (for Amarcord film) is the Oscar given to Federico Fellini’s Italian comedy-drama "Amarcord" in recognition of it as the year’s outstanding non-English-language feature.
-
C.
Honorary Foreign Language Film Award
The Honorary Foreign Language Film Award was a special Academy recognition given to outstanding non-English-language films before the establishment of the competitive Oscar category for international features.
-
D.
Best Foreign Film
Best Foreign Film is a Genie Award category recognizing outstanding motion pictures produced outside of Canada.
-
E.
David di Donatello for Best Foreign Film
The David di Donatello for Best Foreign Film is an Italian film award presented annually to honor the most outstanding non-Italian feature released in Italy.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e897774c819088ebc7231cebfba6 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463c03a948190b0f40f657180c9bf |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c38bb4c819086a2aa9d86296419 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e46db75d9c8190a84db52d58b71b96 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:29 p.m.