Triple
T33219930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Gault |
E850391
|
entity |
| Predicate | competedForCollegeIn |
P27011
|
FINISHED |
| Object | track and field |
—
|
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: track and field | Statement: [Willie Gault, competedForCollegeIn, track and field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competedForCollegeIn Context triple: [Willie Gault, competedForCollegeIn, track and field]
-
A.
conferencePlayedInCollege
Indicates that a person participated in collegiate athletics within a specific athletic conference.
-
B.
namedForCollege
Indicates that an entity is named after or in honor of a particular college.
-
C.
playedCollegeSport
chosen
Indicates that the subject participated in an organized college-level sport for the object institution.
-
D.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
E.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 1:30 a.m.