Triple
T33941499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Royal Fighters |
E870177
|
entity |
| Predicate | hasFormerNBAPlayer |
P106797
|
FINISHED |
| Object | Stephon Marbury |
—
|
NE NERFINISHED |
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, hasFormerNBAPlayer, Stephon Marbury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerNBAPlayer Context triple: [Beijing Royal Fighters, hasFormerNBAPlayer, Stephon Marbury]
-
A.
playedInNBA
Indicates that the subject has participated as a player in at least one official National Basketball Association (NBA) game.
-
B.
playedBasketballFor
chosen
Indicates that one entity was a member of and competed for another entity’s basketball team.
-
C.
notableAlumnusInNBA
Indicates that a person is a distinguished former student of an institution who has gone on to play in the NBA.
-
D.
joinedNBAAs
Indicates that an individual became a member of the NBA in a specific role or capacity.
-
E.
NBAcareerEnd
Indicates the time or season when a person's playing career in the NBA came to an end.
- F. None of above.
Provenance (3 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_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 1, 2026, 1:49 a.m.