Triple
T38483231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Scheyer |
E917839
|
entity |
| Predicate | startTimeAsHeadCoachAtDuke |
P203386
|
FINISHED |
| Object | 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: 2022 | Statement: [Jon Scheyer, startTimeAsHeadCoachAtDuke, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsHeadCoachAtDuke Context triple: [Jon Scheyer, startTimeAsHeadCoachAtDuke, 2022]
-
A.
startTimeAsHeadCoachAtUConn
Indicates the date and time when an individual began their tenure as head coach at UConn.
-
B.
endTimeAsHeadCoachOfWakeForest
Indicates the date and time when an individual’s tenure as head coach of Wake Forest ends.
-
C.
dukeCoach
Indicates that one entity serves as a coach for a sports team or program associated with Duke University.
-
D.
startTimeAsHeadCoachAtMaryland
Indicates the date and time when someone began their tenure as head coach at the University of Maryland.
-
E.
startTimeAsHeadCoachOfLasVegasAces
Indicates the time at which an individual began their tenure as head coach of the Las Vegas Aces.
- F. None of above. chosen
Provenance (4 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a017114e7148190b7479284c316443d |
completed | May 11, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_6a016eebd60481909212e2a49ef95fbe |
completed | May 11, 2026, 5:53 a.m. |
| PDg | Predicate description generation | batch_6a0171143bd081909b68cca366b4dfb0 |
completed | May 11, 2026, 6:03 a.m. |
Created at: May 3, 2026, 4:31 p.m.