Triple
T22910475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideki Matsuyama |
E568575
|
entity |
| Predicate | bestMastersFinish |
P128692
|
FINISHED |
| Object | 1st place (2021) |
—
|
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: 1st place (2021) | Statement: [Hideki Matsuyama, bestMastersFinish, 1st place (2021)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestMastersFinish Context triple: [Hideki Matsuyama, bestMastersFinish, 1st place (2021)]
-
A.
bestResultMastersTournament
chosen
Indicates the best (highest) finishing position an entity has achieved in the Masters Tournament.
-
B.
bestFinishInTheOpenChampionship
Indicates the highest (best) finishing position an entity has ever achieved in The Open Championship golf tournament.
-
C.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
-
D.
bestOnBest
Indicates that the relationship or action occurs under conditions where each side is using its strongest or highest-performing option against the other's strongest or highest-performing option.
-
E.
masteryWonBy
Indicates that a particular mastery, title, or level of expertise is obtained or achieved by a specific entity.
- 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_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. |
Created at: April 17, 2026, 3:42 p.m.