Triple
T22677362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Daniel Bezerra Schmidt |
E560378
|
entity |
| Predicate | careerPointsRecord |
P33938
|
FINISHED |
| Object | among the highest total points scored in professional and international basketball history |
—
|
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: among the highest total points scored in professional and international basketball history | Statement: [Oscar Daniel Bezerra Schmidt, careerPointsRecord, among the highest total points scored in professional and international basketball history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerPointsRecord Context triple: [Oscar Daniel Bezerra Schmidt, careerPointsRecord, among the highest total points scored in professional and international basketball history]
-
A.
seasonPointsRecordSet
Indicates that a new record for total points scored in a season has been achieved or established.
-
B.
careerPointsABA
Indicates the total number of points a player has scored over their career in the ABA (American Basketball Association).
-
C.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
-
D.
careerPoints
chosen
Indicates the total number of points an individual has accumulated over the course of their entire career in a given activity or domain.
-
E.
careerPointsPerGame
Indicates the average number of points an individual scores per game over the course of their entire career.
- 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.