Triple
T37001394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyus Jones |
E915358
|
entity |
| Predicate | coachOfTeamRole |
P188158
|
FINISHED |
| Object | floor general |
—
|
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: floor general | Statement: [Tyus Jones, coachOfTeamRole, floor general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachOfTeamRole Context triple: [Tyus Jones, coachOfTeamRole, floor general]
-
A.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
headCoachTeam
Indicates that a person serves as the head coach of a particular team.
-
D.
teamChampionHeadCoach
Indicates that a coach served as the head coach of a team during a season or event in which that team won a championship.
-
E.
coachPositionPlayed
Indicates the role or position a coach played (typically as a player) in the sport they are associated with.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:14 p.m.