Triple
T36917109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia vs Texas Tech |
E913072
|
entity |
| Predicate | headCoachTeam1 |
P44538
|
FINISHED |
| Object | Tony Bennett |
—
|
NE NERFINISHED |
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: Tony Bennett | Statement: [Virginia vs Texas Tech, headCoachTeam1, Tony Bennett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachTeam1 Context triple: [Virginia vs Texas Tech, headCoachTeam1, Tony Bennett]
-
A.
headCoachTeam
Indicates that a person serves as the head coach of a particular team.
-
B.
headCoachOfHomeTeam
chosen
Indicates that a person serves as the head coach of the designated home team in a sporting event or competition.
-
C.
eastHeadCoachTeam
Indicates that a person serves as the head coach of a team located in the Eastern division or conference.
-
D.
headCoachFullName
Indicates the full personal name of the individual who serves as head coach for a given team or organization.
-
E.
headCoachFrom
Indicates that one entity serves as the head coach and originates from, or is affiliated with, the location or organization represented by the other entity.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55ad44bc8190a802bdaab36adc94 |
completed | May 6, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.