Triple
T22910491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideki Matsuyama |
E568575
|
entity |
| Predicate | professionalWinCountJapanGolfTour |
P150200
|
FINISHED |
| Object | multiple Japan Golf Tour wins |
—
|
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: multiple Japan Golf Tour wins | Statement: [Hideki Matsuyama, professionalWinCountJapanGolfTour, multiple Japan Golf Tour wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalWinCountJapanGolfTour Context triple: [Hideki Matsuyama, professionalWinCountJapanGolfTour, multiple Japan Golf Tour wins]
-
A.
totalPgaTourWins
Indicates the total number of PGA Tour event victories achieved by a given golfer.
-
B.
PGAChampionsTourWins
Indicates the number of tournament victories a golfer has achieved on the PGA Champions Tour.
-
C.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
D.
wonPGAChampionship
Indicates that one entity has won the PGA Championship golf tournament.
-
E.
hasWonProfessionalTournament
Indicates that an entity has achieved victory in at least one professional-level tournament or competition.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807350008190a057e8fb5c363c5f |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:42 p.m.