Triple
T27611484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Price |
E700334
|
entity |
| Predicate | hasWonEuropeanTourEvents |
P71301
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nick Price, hasWonEuropeanTourEvents, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonEuropeanTourEvents Context triple: [Nick Price, hasWonEuropeanTourEvents, yes]
-
A.
europeanTourWins
chosen
Indicates the number of professional golf tournaments a player has won on the European Tour.
-
B.
hasWonTourChampionship
Indicates that an entity has achieved victory in a Tour Championship event or title.
-
C.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
D.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
-
E.
hasWonProfessionalTournament
Indicates that an entity has achieved victory in at least one professional-level tournament or 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 27, 2026, 2:11 p.m.