Triple
T22677343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Daniel Bezerra Schmidt |
E560378
|
entity |
| Predicate | NBAPlayingCareer |
P68519
|
FINISHED |
| Object | never played in the NBA |
—
|
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: never played in the NBA | Statement: [Oscar Daniel Bezerra Schmidt, NBAPlayingCareer, never played in the NBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAPlayingCareer Context triple: [Oscar Daniel Bezerra Schmidt, NBAPlayingCareer, never played in the NBA]
-
A.
NBAcareerEnd
Indicates the time or season when a person's playing career in the NBA came to an end.
-
B.
NBASeasonsPlayed
Indicates the number of seasons an entity has participated in the NBA.
-
C.
NBA_careerPoints
Indicates the total number of points a player has scored over the course of their NBA career.
-
D.
NBACareerGames
Indicates the total number of games an individual has played over the course of their NBA career.
-
E.
playedInNBA
chosen
Indicates that the subject has participated as a player in at least one official National Basketball Association (NBA) game.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785d93e48190b37d11642b0cb123 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.