Triple
T11369730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Goff |
E269309
|
entity |
| Predicate | overseesSport |
P98940
|
FINISHED |
| Object | men’s sports at the University of Kansas |
—
|
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: men’s sports at the University of Kansas | Statement: [Travis Goff, overseesSport, men’s sports at the University of Kansas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overseesSport Context triple: [Travis Goff, overseesSport, men’s sports at the University of Kansas]
-
A.
overseesCompetition
Indicates that one entity has responsibility for supervising, managing, or administering a competition involving another entity.
-
B.
sportTypeGoverned
Indicates that a governing body or organization has regulatory authority over a particular type of sport.
-
C.
overseesNationalTeam
Indicates that one entity has managerial or supervisory responsibility over a country's national team.
-
D.
sportsDisciplineCoachedOrManaged
Indicates that a person has coached or managed a particular sports discipline or type of sport.
-
E.
overseesCompetitionType
Indicates that one entity has responsibility for supervising, managing, or regulating a particular type or category of competition.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:33 p.m.