Triple
T33941511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Royal Fighters |
E870177
|
entity |
| Predicate | hasRetiredNBAStarAsCoach |
—
|
GENERATED |
| Object | Stephon Marbury |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetiredNBAStarAsCoach Context triple: [Beijing Royal Fighters, hasRetiredNBAStarAsCoach, Stephon Marbury]
-
A.
formerNBAPlayerAsCoach
chosen
Indicates that the subject is serving or has served as a coach after previously playing in the NBA.
-
B.
hasHeadCoachWithNBAExperience
Indicates that the entity’s head coach has prior coaching or playing experience in the NBA.
-
C.
NBACoachingRetirementSeason
Indicates the NBA season in which a coach officially retires from coaching.
-
D.
startedAsNBAAssistantCoach
Indicates that the person’s initial role in the NBA coaching profession was as an assistant coach.
-
E.
NBAteamCoached
Indicates that one entity is a coach who has coached the other entity, which is an NBA team.
- F. None of above.
Provenance (1 batch)
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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:49 a.m.