Triple
T23743454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zacch Pickens |
E586748
|
entity |
| Predicate | hasCollegeAthleticRole |
P117304
|
FINISHED |
| Object | defensive tackle |
—
|
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: defensive tackle | Statement: [Zacch Pickens, hasCollegeAthleticRole, defensive tackle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeAthleticRole Context triple: [Zacch Pickens, hasCollegeAthleticRole, defensive tackle]
-
A.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
-
B.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
C.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
D.
hasSportsRole
chosen
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
-
E.
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.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbbcf988190b56d74af4b126bd8 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.