Triple
T946051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Williams |
E20414
|
entity |
| Predicate | notableAwardCount |
P3160
|
FINISHED |
| Object | multiple Academy Awards |
—
|
LITERAL 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: multiple Academy Awards | Statement: [John Williams, notableAwardCount, multiple Academy Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAwardCount Context triple: [John Williams, notableAwardCount, multiple Academy Awards]
-
A.
numberOfAwards
chosen
Indicates the total count of awards that have been received by an entity.
-
B.
notableAwardWork
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
-
C.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
D.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
-
E.
notableMultipleWinners
Indicates that the subject has achieved multiple wins or repeated successes in a notable event, competition, or 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.