Triple
T33941511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Royal Fighters |
E870177
|
entity |
| Predicate | hasRetiredNBAStarAsCoach |
P201311
|
FINISHED |
| Object | Stephon Marbury |
E248896
|
NE 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: Stephon Marbury | Statement: [Beijing Royal Fighters, hasRetiredNBAStarAsCoach, Stephon Marbury]
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 (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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b74e744c81909559dab01b001e47 |
completed | June 20, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:49 a.m.