Triple
T29677859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo Bamba |
E750864
|
entity |
| Predicate | NBADebutLeague |
P167586
|
FINISHED |
| Object | NBA |
—
|
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: NBA | Statement: [Mo Bamba, NBADebutLeague, NBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBADebutLeague Context triple: [Mo Bamba, NBADebutLeague, NBA]
-
A.
NBADebut
Indicates that an entity made its first official appearance in a National Basketball Association (NBA) game.
-
B.
NBADivision
Indicates a relationship where an NBA team is assigned to or competes within a specific NBA division.
-
C.
GLeagueAffiliate
Indicates that one basketball team serves as the NBA G League affiliate (developmental partner) of another team.
-
D.
NBAteam
Indicates that one entity is a professional basketball team that competes in the National Basketball Association (NBA) and the other entity is associated with it in that team role.
-
E.
preNBAClub
Indicates that a person was associated with a particular basketball club or team before joining the NBA.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6725f965c81909c66601bf11c5fdc |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:08 p.m.