Triple
T33393414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wayne as Rooster Cogburn |
E855109
|
entity |
| Predicate | awardOrganization |
P287
|
FINISHED |
| Object | Academy of Motion Picture Arts and Sciences |
—
|
NE NERFINISHED |
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 of Motion Picture Arts and Sciences | Statement: [John Wayne as Rooster Cogburn, awardOrganization, Academy of Motion Picture Arts and Sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardOrganization Context triple: [John Wayne as Rooster Cogburn, awardOrganization, Academy of Motion Picture Arts and Sciences]
-
A.
awardGivenBy
chosen
Indicates that an award is conferred or presented by one entity to another.
-
B.
awardOrganizer
Indicates that an entity is responsible for organizing, managing, or hosting a particular award or award event.
-
C.
awardName
Indicates the specific name or title of an award associated with an entity.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardType
Indicates the specific category or kind of award associated with an entity or event.
- F. None of above.
Provenance (3 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 1:35 a.m.