Triple
T18641898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Woods Ventures |
E455708
|
entity |
| Predicate | roleInTigerWoodsCareer |
P132815
|
FINISHED |
| Object | central vehicle for off-course income |
—
|
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: central vehicle for off-course income | Statement: [Tiger Woods Ventures, roleInTigerWoodsCareer, central vehicle for off-course income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTigerWoodsCareer Context triple: [Tiger Woods Ventures, roleInTigerWoodsCareer, central vehicle for off-course income]
-
A.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
B.
RyderCupRole
Indicates that an entity holds a specific role or position in relation to the Ryder Cup event.
-
C.
roleInChampionships
Indicates the specific capacity or function an entity has in relation to one or more championship events.
-
D.
PGAChampionsTourWins
Indicates the number of tournament victories a golfer has achieved on the PGA Champions Tour.
-
E.
wonPGAChampionship
Indicates that one entity has won the PGA Championship golf 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.