Triple
T1196526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Martínez Award |
E25679
|
entity |
| Predicate | mostAwardsByPlayerCount |
P11369
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Edgar Martínez Award, mostAwardsByPlayerCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAwardsByPlayerCount Context triple: [Edgar Martínez Award, mostAwardsByPlayerCount, 8]
-
A.
mostWinsByPlayerCount
Indicates the maximum number of wins achieved by any single player within the considered set or context.
-
B.
mostOverallWinsHolder
Indicates that the subject is the entity holding the highest total number of wins overall, compared to all other relevant entities.
-
C.
mostAwardsHolder
chosen
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
-
D.
featuresTopPlayersFrom
Indicates that something includes or showcases the most prominent or best-performing players from a specified source or group.
-
E.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7a756c819085d695acfffeaceb |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.