Triple
T21086874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wichita Vickers (as coach) |
E519514
|
entity |
| Predicate | coachPositionPlayed |
P142781
|
FINISHED |
| Object | guard |
—
|
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: guard | Statement: [Wichita Vickers (as coach), coachPositionPlayed, guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachPositionPlayed Context triple: [Wichita Vickers (as coach), coachPositionPlayed, guard]
-
A.
positionPlayedForTeam
Indicates the specific playing position or role an individual held while participating on a particular team.
-
B.
coachesPosition
Indicates that one entity serves as the coach for a specific position or role associated with another entity.
-
C.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
-
D.
coachPreviousPosition
Indicates that a coach previously held a specific position or role before their current one.
-
E.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094be9388190b004fda23f301397 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.