Triple
T16641478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Tshiebwe |
E404347
|
entity |
| Predicate | yearsAtCollegeTeam |
P39612
|
FINISHED |
| Object | West Virginia Mountaineers 2019–2021 |
—
|
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: West Virginia Mountaineers 2019–2021 | Statement: [Oscar Tshiebwe, yearsAtCollegeTeam, West Virginia Mountaineers 2019–2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsAtCollegeTeam Context triple: [Oscar Tshiebwe, yearsAtCollegeTeam, West Virginia Mountaineers 2019–2021]
-
A.
playedCollegeYears
chosen
Indicates the span of years during which an entity participated in college-level play (e.g., as a student-athlete).
-
B.
workedForCollegeTeam
Indicates that an individual was employed by or served in a working role for a college sports team.
-
C.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
D.
collegeTeamNumberOfSeasons
Indicates the number of seasons a college sports team has participated in competition.
-
E.
memberCollege
Indicates that a college is a constituent or affiliated unit within a larger organization, such as a university or educational system.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad1a7748190aa9308d4e96c566c |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296af2f88819092c9ffee4a65d7dd |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:18 a.m.