Triple
T26438742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Frazier |
E665025
|
entity |
| Predicate | styleOffCourt |
P160755
|
FINISHED |
| Object | fashionable clothing |
—
|
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: fashionable clothing | Statement: [Walt Frazier, styleOffCourt, fashionable clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOffCourt Context triple: [Walt Frazier, styleOffCourt, fashionable clothing]
-
A.
styleOfPlay
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
B.
hasCourtSurface
Indicates that something (such as a court or playing area) possesses a specific type of surface.
-
C.
servedOnCourt
Indicates that a person held an official judicial position on a particular court.
-
D.
positionInCourt
Indicates the specific role or standing an entity holds within a court setting or judicial proceeding.
-
E.
forecourtOf
Indicates that one place or area serves as the open, typically paved space directly in front of another place, such as a building or facility.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6121927e88190bdbfb05b37acaf3d |
completed | May 2, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 26, 2026, 11:56 p.m.