Triple
T997392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Taylor |
E21524
|
entity |
| Predicate | collegeSeasonHighlighted |
P1219
|
FINISHED |
| Object | 2003 season with Miami Hurricanes |
—
|
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: 2003 season with Miami Hurricanes | Statement: [Sean Taylor, collegeSeasonHighlighted, 2003 season with Miami Hurricanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeSeasonHighlighted Context triple: [Sean Taylor, collegeSeasonHighlighted, 2003 season with Miami Hurricanes]
-
A.
positionPlayedInCollege
Indicates the specific playing position an individual held on a sports team during their college career.
-
B.
studentAthletes
Indicates a relationship where the entities are athletes who are also enrolled as students, combining academic and athletic roles.
-
C.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
-
D.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
E.
competitionSeason
chosen
Indicates that an entity is associated with a particular competitive season or edition of a competition.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4e0f0d081908b888c246d001786 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2af071c819086c374a16307dfe0 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.