Triple
T7361331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gervin |
E169751
|
entity |
| Predicate | numberOfTimesAwardedNBAScoringTitle |
P77062
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [George Gervin, numberOfTimesAwardedNBAScoringTitle, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAwardedNBAScoringTitle Context triple: [George Gervin, numberOfTimesAwardedNBAScoringTitle, 4]
-
A.
NBASeasonScoringLeader
Indicates that the subject was the player who scored the most total points in a given NBA season.
-
B.
NBA_MVP_awards
Indicates the number of times an entity has received the NBA Most Valuable Player (MVP) award.
-
C.
NBAAllTimeScoringLeader
Indicates that the subject holds the record for the most total points scored in NBA regular-season history.
-
D.
numberOfLeagueMVPawards
Indicates the count of times an entity has received the league’s Most Valuable Player (MVP) award.
-
E.
NaismithPlayerOfYearWinner
Indicates that the subject is the recipient of the Naismith Player of the Year award for a given season or context.
- 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_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. |
| PDg | Predicate description generation | batch_69c6f26c050c8190a2d009b45d920490 |
completed | March 27, 2026, 9:11 p.m. |
Created at: March 27, 2026, 3:06 p.m.