Triple
T20144324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O.J. Mayo |
E491260
|
entity |
| Predicate | highSchoolAllAmerican |
P138835
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [O.J. Mayo, highSchoolAllAmerican, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolAllAmerican Context triple: [O.J. Mayo, highSchoolAllAmerican, yes]
-
A.
collegeAllAmerican
Indicates that a person was selected as an All-American (one of the top players nationally) in a college-level sport.
-
B.
highSchoolAthleticAssociation
Indicates that an entity is a governing body or organization responsible for regulating and overseeing high school athletic programs and competitions for another entity (such as schools or teams).
-
C.
playedHighSchoolFootballAt
Indicates that a person was a member of and participated in a high school football team at a specific school.
-
D.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
E.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679d89688190ae88d81002d16d6e |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:33 p.m.