Triple
T31416011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British campaign stars of the Second World War |
E801395
|
entity |
| Predicate | totalNumberOfDistinctAwards |
P3160
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [British campaign stars of the Second World War, totalNumberOfDistinctAwards, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfDistinctAwards Context triple: [British campaign stars of the Second World War, totalNumberOfDistinctAwards, 9]
-
A.
numberOfAwards
chosen
Indicates the total count of awards that have been received by an entity.
-
B.
mostAwardsWinnerCount
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
C.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
-
D.
numberOfAwardsPerYear
Indicates the number of awards associated with an entity within a given year.
-
E.
academyAwardsNominationsCount
Indicates the number of times an entity has been nominated for an Academy 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 30, 2026, 8:43 p.m.