Triple
T5980869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Schmidt |
E133114
|
entity |
| Predicate | reasonForNotPlayingInNBA |
P22366
|
FINISHED |
| Object | to maintain eligibility for Brazilian national team |
—
|
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: to maintain eligibility for Brazilian national team | Statement: [Oscar Schmidt, reasonForNotPlayingInNBA, to maintain eligibility for Brazilian national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForNotPlayingInNBA Context triple: [Oscar Schmidt, reasonForNotPlayingInNBA, to maintain eligibility for Brazilian national team]
-
A.
reasonForNotJoiningNBA
chosen
Indicates the explanation or cause given for why an entity did not become part of the NBA.
-
B.
joinedNBAThrough
Indicates the manner or pathway by which a player entered the NBA, such as via draft, free agency, or other acquisition method.
-
C.
joinedNBAFrom
Indicates that a person entered the NBA coming directly from a specified prior team, league, school, or organization.
-
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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.