Triple
T2769548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elgin Baylor |
E61419
|
entity |
| Predicate | notableSingleGamePoints |
P16995
|
FINISHED |
| Object | 71 |
—
|
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: 71 | Statement: [Elgin Baylor, notableSingleGamePoints, 71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSingleGamePoints Context triple: [Elgin Baylor, notableSingleGamePoints, 71]
-
A.
notablePlayoffStatistic
Indicates that there exists a significant or distinguished statistical achievement associated with an entity’s performance in playoff competition.
-
B.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
-
C.
notableStatistic
chosen
Indicates that a particular statistic is especially significant or noteworthy in relation to the subject.
-
D.
recordHighScoringForWinner
Indicates that a record is kept of the highest score achieved by the winning entity in a given context or event.
-
E.
notablePlay
Indicates that a particular play is especially famous, significant, or noteworthy in relation to the entity it is associated with.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.