Triple
T37258499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Saunders |
E924196
|
entity |
| Predicate | coachForCollegeTeam |
P75946
|
FINISHED |
| Object | San Jose State Spartans 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: San Jose State Spartans football | Statement: [Al Saunders, coachForCollegeTeam, San Jose State Spartans football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachForCollegeTeam Context triple: [Al Saunders, coachForCollegeTeam, San Jose State Spartans football]
-
A.
coachSince
Indicates that one entity has been serving as a coach for another entity starting from a specified point in time.
-
B.
collegeTeamCoach
chosen
Indicates that one entity serves as the coach of a college sports team represented by the other entity.
-
C.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
D.
coachSchool
Indicates that a person serves as a coach for a particular school or educational institution.
-
E.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:15 p.m.