Triple
T22910477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideki Matsuyama |
E568575
|
entity |
| Predicate | bestOpenChampionshipFinish |
P8062
|
FINISHED |
| Object | T6 (2013) |
—
|
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: T6 (2013) | Statement: [Hideki Matsuyama, bestOpenChampionshipFinish, T6 (2013)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOpenChampionshipFinish Context triple: [Hideki Matsuyama, bestOpenChampionshipFinish, T6 (2013)]
-
A.
bestFinishInTheOpenChampionship
chosen
Indicates the highest (best) finishing position an entity has ever achieved in The Open Championship golf tournament.
-
B.
yearOfBestOpenFinish
Indicates the year in which an entity achieved its best (highest) finishing position in an Open tournament or championship.
-
C.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
-
D.
bestRaceFinishPositionAchievedByDriver
Indicates the best (highest-ranking) race finishing position that a particular driver has ever achieved.
-
E.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
- 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.