Triple
T6512164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Faldo |
E150161
|
entity |
| Predicate | ryderCupAppearances |
P71303
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Nick Faldo, ryderCupAppearances, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ryderCupAppearances Context triple: [Nick Faldo, ryderCupAppearances, 11]
-
A.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
B.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
C.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
-
D.
europeanChampionshipAppearance
Indicates that an entity has participated in at least one edition of a European championship competition.
-
E.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.