Triple
T6699126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Lovellette |
E152829
|
entity |
| Predicate | ledNCAATournamentInScoring |
P72508
|
FINISHED |
| Object | 1952 |
—
|
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: 1952 | Statement: [Clyde Lovellette, ledNCAATournamentInScoring, 1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledNCAATournamentInScoring Context triple: [Clyde Lovellette, ledNCAATournamentInScoring, 1952]
-
A.
NCAATournamentLevel
Indicates the competitive round or stage an entity has reached or participated in within the NCAA tournament structure.
-
B.
NBAScoringTitle
Indicates that a player led the NBA in points per game for a given season, earning the league's scoring title.
-
C.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
D.
NCAATournamentBestResultSeason
Indicates the season in which an entity achieved its best result in the NCAA Tournament.
-
E.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1668a7c8190ae93951f9ba2df10 |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:05 p.m.