Triple
T26003271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keegan Murray |
E646689
|
entity |
| Predicate | yearsActiveCollege |
P39612
|
FINISHED |
| Object | 2020–2022 |
—
|
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: 2020–2022 | Statement: [Keegan Murray, yearsActiveCollege, 2020–2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveCollege Context triple: [Keegan Murray, yearsActiveCollege, 2020–2022]
-
A.
playedCollegeYears
chosen
Indicates the span of years during which an entity participated in college-level play (e.g., as a student-athlete).
-
B.
fullCollegeStatusYear
Indicates the year in which an entity attained or was recognized with full college status.
-
C.
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.
-
D.
collegiateStatus
Indicates the relationship between an entity and a college or university, specifying its status or standing within that academic institution (e.g., enrolled, graduated, affiliated).
-
E.
collegeCupAppearance
Indicates that an entity has participated in a college-level cup competition at least once.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60577c7188190b9a5fef79c150176 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 9 a.m.