Triple
T24224027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Peter McCoy |
E601541
|
entity |
| Predicate | totalWinners |
P6983
|
FINISHED |
| Object | over 4000 |
—
|
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: over 4000 | Statement: [Anthony Peter McCoy, totalWinners, over 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalWinners Context triple: [Anthony Peter McCoy, totalWinners, over 4000]
-
A.
winnerCount
chosen
Indicates the number of entities that are designated as winners in a given context or event.
-
B.
recordWinners
Indicates that an entity documents or stores information about the winners of a particular event, contest, or competition.
-
C.
mostAwardsWinnerCount
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
D.
fieldOfWinners
Indicates that a given field or domain is associated with the winners of a particular competition, award, or event.
-
E.
hasWinners
Indicates that an event, competition, or context has one or more entities designated as winners.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight