Triple
T15685679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dejounte Murray |
E380191
|
entity |
| Predicate | playedCollegeSeason |
P38589
|
FINISHED |
| Object | 2015–2016 |
—
|
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: 2015–2016 | Statement: [Dejounte Murray, playedCollegeSeason, 2015–2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedCollegeSeason Context triple: [Dejounte Murray, playedCollegeSeason, 2015–2016]
-
A.
collegeSeason
chosen
Indicates that an event, activity, or status occurs during a specific college sports or academic season.
-
B.
playedCollegeYears
Indicates the span of years during which an entity participated in college-level play (e.g., as a student-athlete).
-
C.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
-
D.
positionPlayedInCollege
Indicates the specific playing position an individual held on a sports team during their college career.
-
E.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:44 a.m.