Triple
T31186266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Montgomerie |
E795051
|
entity |
| Predicate | bestFinishPGAChampionship |
P128693
|
FINISHED |
| Object | 2nd place |
—
|
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: 2nd place | Statement: [Colin Montgomerie, bestFinishPGAChampionship, 2nd place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFinishPGAChampionship Context triple: [Colin Montgomerie, bestFinishPGAChampionship, 2nd place]
-
A.
bestResultPGAChampionship
chosen
Indicates the highest finishing position an entity has achieved in the PGA Championship golf tournament.
-
B.
wonPGAChampionship
Indicates that one entity has won the PGA Championship golf tournament.
-
C.
PGAChampionsTourWins
Indicates the number of tournament victories a golfer has achieved on the PGA Champions Tour.
-
D.
OpenChampionshipWin
Indicates that an entity has achieved victory in an edition of the Open Championship (often known as The Open or British Open).
-
E.
hasWonFedExCup
Indicates that the subject has won the FedEx Cup title in professional golf.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 9:08 p.m.