Triple
T34233665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earle Bruce |
E878272
|
entity |
| Predicate | predecessorAsOhioStateHeadCoach |
P194717
|
FINISHED |
| Object | Woody Hayes |
—
|
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: Woody Hayes | Statement: [Earle Bruce, predecessorAsOhioStateHeadCoach, Woody Hayes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsOhioStateHeadCoach Context triple: [Earle Bruce, predecessorAsOhioStateHeadCoach, Woody Hayes]
-
A.
predecessorAsSteelersHeadCoach
Indicates that one coach previously held the position of head coach of the Pittsburgh Steelers immediately before another coach.
-
B.
headCoachOhioState
Indicates that the subject is the head coach of the Ohio State sports team (typically the Ohio State University football team) during a given time period.
-
C.
PittsburghCoach
Indicates that a person holds or has held the position of coach for a Pittsburgh-based sports team.
-
D.
IndianaHeadCoach
Indicates that a person holds or has held the position of head coach for a sports team representing the state or institution of Indiana.
-
E.
successorHeadCoach
Indicates that one coach directly follows another as the next head coach of the same team or organization.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
| PDg | Predicate description generation | batch_69fd82ebe1c081908455fc45b6e45178 |
completed | May 8, 2026, 6:30 a.m. |
Created at: May 1, 2026, 1:56 a.m.