Triple
T728295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture |
E14775
|
entity |
| Predicate | maximumNomineesAfterExpansion |
P12579
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Academy Award for Best Picture, maximumNomineesAfterExpansion, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumNomineesAfterExpansion Context triple: [Academy Award for Best Picture, maximumNomineesAfterExpansion, 10]
-
A.
typicalNumberOfNominees
chosen
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
B.
maximumNominationsPerFilm
Indicates the highest number of nominations that any single film is allowed to receive.
-
C.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
D.
increasedNumberOfElectors
Indicates that the number of electors associated with an entity has grown compared to a previous state or reference point.
-
E.
maximumNumberOfLaureatesPerYear
Indicates the highest allowable or observed count of laureates associated with a given year.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.