Triple
T36049075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Biggs |
E1042757
|
entity |
| Predicate | collegePlayingCareer |
P27011
|
FINISHED |
| Object | quarterback at UC Davis in early 1970s |
—
|
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: quarterback at UC Davis in early 1970s | Statement: [Bob Biggs, collegePlayingCareer, quarterback at UC Davis in early 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegePlayingCareer Context triple: [Bob Biggs, collegePlayingCareer, quarterback at UC Davis in early 1970s]
-
A.
playedAfterCollege
Indicates that an individual continued to play a sport or activity after completing their college education.
-
B.
playedCollegeSport
chosen
Indicates that the subject participated in an organized college-level sport for the object institution.
-
C.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
D.
playedForCollegeTeamUntil
Indicates that an individual was a member of and played for a specific college team up to (and including) a particular end date or season.
-
E.
leagueDuringCollege
Indicates the sports league or competitive organization in which an individual participated while they were in college.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:07 p.m.