Triple
T5776479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manager of the Year Award |
E127454
|
entity |
| Predicate | numberOfWinnersPerSeason |
P66376
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Manager of the Year Award, numberOfWinnersPerSeason, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWinnersPerSeason Context triple: [Manager of the Year Award, numberOfWinnersPerSeason, 2]
-
A.
lastWinnerSeason
Indicates that the subject is the most recent winner of a recurring competition or award in the specified season.
-
B.
tournamentWinsInSeason
Indicates that one entity (typically a team or player) has achieved a specified number of tournament victories during a particular season.
-
C.
firstSeasonChampions
Indicates that the subject entity won the championship in the first season of the relevant competition or series.
-
D.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
E.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
- F. None of above. chosen
Provenance (4 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:50 p.m.