Triple
T34377194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen Doyle |
E882318
|
entity |
| Predicate | hasCollegeAthleticsEligibility |
P205415
|
FINISHED |
| Object | completed |
—
|
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: completed | Statement: [Kathleen Doyle, hasCollegeAthleticsEligibility, completed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeAthleticsEligibility Context triple: [Kathleen Doyle, hasCollegeAthleticsEligibility, completed]
-
A.
usesNCAAEligibilityRules
Indicates that an entity applies or follows NCAA eligibility rules to determine whether individuals are allowed to participate in NCAA-governed activities.
-
B.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
C.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
-
D.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
E.
isCollegiateLeague
Indicates that a sports league operates at the college or university level, involving teams representing academic institutions.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:59 a.m.