Triple
T12361530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale Bulldogs men’s soccer |
E294747
|
entity |
| Predicate | academicAthleticEmphasis |
P3611
|
FINISHED |
| Object | student-athlete model |
—
|
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: student-athlete model | Statement: [Yale Bulldogs men’s soccer, academicAthleticEmphasis, student-athlete model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicAthleticEmphasis Context triple: [Yale Bulldogs men’s soccer, academicAthleticEmphasis, student-athlete model]
-
A.
academicAthleticReputation
Indicates the perceived quality or standing of an entity based on both its academic performance and athletic success.
-
B.
academicEmphasis
Indicates a focus or concentration of study or specialization within an academic program or curriculum.
-
C.
studentAthletes
chosen
Indicates a relationship where the entities are athletes who are also enrolled as students, combining academic and athletic roles.
-
D.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
E.
universitySport
Indicates a relationship where a particular sport is officially associated with, offered, or organized by a university.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.