Triple
T3932889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Love |
E90835
|
entity |
| Predicate | collegeAllAmerican |
P52615
|
FINISHED |
| Object | consensus first-team All-American |
—
|
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: consensus first-team All-American | Statement: [Kevin Love, collegeAllAmerican, consensus first-team All-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeAllAmerican Context triple: [Kevin Love, collegeAllAmerican, consensus first-team All-American]
-
A.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
B.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
-
C.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
D.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
-
E.
collegeSportsContext
Indicates a relationship, event, or situation that specifically occurs within or is shaped by the environment of college or university sports.
- F. None of above. chosen
Provenance (4 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:23 p.m.