Triple
T33446648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for Birdman |
E856521
|
entity |
| Predicate | relatedAwardForFilm |
P219
|
FINISHED |
| Object | Academy Award for Best Picture for Birdman |
E1340601
|
NE FINISHED |
How this triple was built (2 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 for Birdman | Statement: [Academy Award for Best Supporting Actor for Birdman, relatedAwardForFilm, Academy Award for Best Picture for Birdman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedAwardForFilm Context triple: [Academy Award for Best Supporting Actor for Birdman, relatedAwardForFilm, Academy Award for Best Picture for Birdman]
-
A.
associatedAwardWinningFilm
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
B.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
-
C.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
D.
hasAwardedForFilmIndustry
Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
-
E.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
- F. None of above.
Provenance (4 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a358160a1a481909679886068e85358 |
completed | June 19, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:37 a.m.