Triple
T34348624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as producer of Saving Private Ryan) |
E881504
|
entity |
| Predicate | nominatedProducers |
P144016
|
FINISHED |
| Object | Ian Bryce |
—
|
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: Ian Bryce | Statement: [Academy Award for Best Picture (as producer of Saving Private Ryan), nominatedProducers, Ian Bryce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominatedProducers Context triple: [Academy Award for Best Picture (as producer of Saving Private Ryan), nominatedProducers, Ian Bryce]
-
A.
awardNominationForProducedWork
chosen
Indicates that an entity has received a nomination for an award specifically in recognition of a work it produced.
-
B.
winningProducers
Indicates that the associated producers are those who have won a particular award, contest, or competition.
-
C.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
D.
producersGuildOfAmericaAward
Indicates that an entity has received or is associated with a Producers Guild of America Award.
-
E.
bestPictureProducer
Indicates that the subject is the producer associated with a film that won the Best Picture award.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:58 a.m.