Triple
T7361352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gervin |
E169751
|
entity |
| Predicate | scoringAverageReputation |
P36019
|
FINISHED |
| Object | one of the top career scorers in NBA 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 top career scorers in NBA history | Statement: [George Gervin, scoringAverageReputation, one of the top career scorers in NBA history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoringAverageReputation Context triple: [George Gervin, scoringAverageReputation, one of the top career scorers in NBA history]
-
A.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
B.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
C.
liveReputation
Indicates a dynamic, continuously updated assessment of an entity’s standing, trustworthiness, or performance based on recent or real-time information.
-
D.
designReputation
Indicates the perceived quality or standing of an entity based on others’ judgments of its design.
-
E.
performanceReputation
chosen
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.