Triple
T32946885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Clemons |
E842828
|
entity |
| Predicate | collegeBasketballTeam |
P75480
|
FINISHED |
| Object | Campbell Fighting Camels |
—
|
NE NERFINISHED |
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: Campbell Fighting Camels | Statement: [Chris Clemons, collegeBasketballTeam, Campbell Fighting Camels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeBasketballTeam Context triple: [Chris Clemons, collegeBasketballTeam, Campbell Fighting Camels]
-
A.
basketballTeamOf
Indicates that one entity is the basketball team to which another entity belongs or is affiliated.
-
B.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
-
C.
collegeChampionshipTeam
Indicates that a team is the winner of a specified college-level championship competition.
-
D.
NBAteam
Indicates that one entity is a professional basketball team that competes in the National Basketball Association (NBA) and the other entity is associated with it in that team role.
-
E.
playsCollegeBasketballIn
chosen
Indicates that an individual is a member of and competes for a college or university’s basketball team located at a specified institution or place.
- 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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 1, 2026, 1:21 a.m.