Triple
T15151549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Clarke |
E361954
|
entity |
| Predicate | RyderCupRole |
P117524
|
FINISHED |
| Object | player |
—
|
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: player | Statement: [Darren Clarke, RyderCupRole, player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RyderCupRole Context triple: [Darren Clarke, RyderCupRole, player]
-
A.
ryderCupAppearances
Indicates the number of times an entity has participated in the Ryder Cup competition.
-
B.
ryderCupCaptaincyCountry
Indicates the country that a person represents or captains in the Ryder Cup golf competition.
-
C.
RyderCupTeam
Indicates that one entity is a Ryder Cup team associated with or representing another entity (such as a country, region, or organization) in the Ryder Cup golf competition.
-
D.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
E.
ryderCupCaptaincyLocation
Indicates the location where a particular Ryder Cup team captaincy is held or based.
- F. None of above. chosen
Provenance (4 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.