Triple
T8441815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry O’Connell |
E199365
|
entity |
| Predicate | almaMaterSport |
P27011
|
FINISHED |
| Object | NYU fencing team |
—
|
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: NYU fencing team | Statement: [Jerry O’Connell, almaMaterSport, NYU fencing team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: almaMaterSport Context triple: [Jerry O’Connell, almaMaterSport, NYU fencing team]
-
A.
universitySport
Indicates a relationship where a particular sport is officially associated with, offered, or organized by a university.
-
B.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
C.
studentAthletes
Indicates a relationship where the entities are athletes who are also enrolled as students, combining academic and athletic roles.
-
D.
playedCollegeSport
chosen
Indicates that the subject participated in an organized college-level sport for the object institution.
-
E.
collegeSportsContext
Indicates a relationship, event, or situation that specifically occurs within or is shaped by the environment of college or university 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.