Triple
T18438480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Klier |
E450458
|
entity |
| Predicate | numberOfTimesAllAmerican |
P131604
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Leo Klier, numberOfTimesAllAmerican, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAllAmerican Context triple: [Leo Klier, numberOfTimesAllAmerican, 2]
-
A.
consensusAllAmerican
Indicates that an athlete has been recognized as a consensus All-American, meaning multiple major selectors agree they are among the best players nationally at their position for a given season.
-
B.
hasAllAmericanPlayers
Indicates that all players associated with an entity have been recognized as All-American.
-
C.
numberOfABAChampionships
Indicates the number of championships an entity has won in the American Basketball Association (ABA).
-
D.
SuperBowlAppearances
Indicates the number of times an entity has participated in a Super Bowl game.
-
E.
hasProducedAllAmericans
Indicates that an entity (such as a team, school, or organization) has produced or been associated with all individuals designated as All-Americans within a specified context or period.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0ed6708190ae90efd8455ec352 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:29 a.m.