Triple
T32146949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patton Oswalt as Remy |
E821046
|
entity |
| Predicate | awardedToWork |
P162866
|
FINISHED |
| Object | AcademyAwardForBestAnimatedFeature |
—
|
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: AcademyAwardForBestAnimatedFeature | Statement: [Patton Oswalt as Remy, awardedToWork, AcademyAwardForBestAnimatedFeature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedToWork Context triple: [Patton Oswalt as Remy, awardedToWork, AcademyAwardForBestAnimatedFeature]
-
A.
awardedForWorkOn
Indicates that one entity grants an award or recognition to another entity specifically for that entity’s work on a particular project, task, or subject.
-
B.
awardedToSourceWork
chosen
Indicates that an award or recognition is given specifically for a particular source work (such as a book, film, or other original creation).
-
C.
wonWork
Indicates that one party has successfully secured or been awarded a particular job, contract, or work opportunity over others.
-
D.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
E.
winnerWork
Indicates that a particular work (such as a book, film, or piece of art) is the one that won a specified award or competition.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 12:31 a.m.