Triple
T31181076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Kidd |
E794894
|
entity |
| Predicate | tournamentFormatOfWin |
P2673
|
FINISHED |
| Object | stroke play |
—
|
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: stroke play | Statement: [Tom Kidd, tournamentFormatOfWin, stroke play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentFormatOfWin Context triple: [Tom Kidd, tournamentFormatOfWin, stroke play]
-
A.
competitionFormat
chosen
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
B.
tourFormat
Indicates the specific structure, style, or type of a tour associated with an entity.
-
C.
teamSportFormat
Indicates the type or structure of how a sport is organized and played as a team-based competition.
-
D.
tournamentFinalMethod
Indicates the method or format by which the final round or match of a tournament is conducted or decided.
-
E.
worldCupFormat
Indicates the specific structure, rules, and progression system used to organize and play a given World Cup 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: April 29, 2026, 9:08 p.m.