Triple
T23398672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mão Santa |
E559434
|
entity |
| Predicate | leagueScoringRecord |
P152104
|
FINISHED |
| Object | one of the highest total points in professional 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: one of the highest total points in professional basketball history | Statement: [Mão Santa, leagueScoringRecord, one of the highest total points in professional basketball history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueScoringRecord Context triple: [Mão Santa, leagueScoringRecord, one of the highest total points in professional basketball history]
-
A.
teamScoring
Indicates that a team achieves a score or points in a game, match, or competitive event.
-
B.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
C.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
D.
seasonPointsRecordSet
Indicates that a new record for total points scored in a season has been achieved or established.
-
E.
seasonGoalsRecordSeason
Indicates the specific season in which a particular season goals record was achieved or is valid.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:37 p.m.