Triple
T24015302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Joseph High School |
E594655
|
entity |
| Predicate | notableAlumnusLeague |
P114946
|
FINISHED |
| Object | National Basketball Association |
—
|
NE NERFINISHED |
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: National Basketball Association | Statement: [St. Joseph High School, notableAlumnusLeague, National Basketball Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAlumnusLeague Context triple: [St. Joseph High School, notableAlumnusLeague, National Basketball Association]
-
A.
notableAlumnusInNBA
Indicates that a person is a distinguished former student of an institution who has gone on to play in the NBA.
-
B.
notableAthleteFrom
Indicates that an athlete is notably associated with or originates from a particular place or region.
-
C.
notableAthlete
Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
-
D.
notableCoachAlumnus
Indicates that a person is a notable former player or trainee of a particular coach.
-
E.
hasNotableSportAlumnus
chosen
Indicates that an institution or organization has at least one alumnus who is notable for achievements in sports.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a32374819094dcb42abf18c033 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.