Triple
T25015937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Pardee |
E626130
|
entity |
| Predicate | collegeFootballTeamPlayedFor |
P2170
|
FINISHED |
| Object | Texas A&M Aggies football |
—
|
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: Texas A&M Aggies football | Statement: [Jack Pardee, collegeFootballTeamPlayedFor, Texas A&M Aggies football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeFootballTeamPlayedFor Context triple: [Jack Pardee, collegeFootballTeamPlayedFor, Texas A&M Aggies football]
-
A.
playedForNFLTeam
Indicates that a person was a member of and played for a specific NFL team.
-
B.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
C.
playedFor
chosen
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
D.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
E.
playedInCIFL
Indicates that a person or team participated as a player in the Continental Indoor Football League (CIFL).
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:06 a.m.