Triple
T20079036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Hurley |
E499946
|
entity |
| Predicate | roleAtStBenedictsPrep |
P121011
|
FINISHED |
| Object | head coach |
—
|
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: head coach | Statement: [Dan Hurley, roleAtStBenedictsPrep, head coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtStBenedictsPrep Context triple: [Dan Hurley, roleAtStBenedictsPrep, head coach]
-
A.
schoolRole
chosen
Indicates the specific function, position, or capacity an entity holds within a school context (e.g., student, teacher, administrator).
-
B.
associatedStudentBodyName
Indicates the name of the student body that is formally linked or affiliated with a given entity.
-
C.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
-
D.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
-
E.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643e216c819088c002fc1de2772a |
completed | April 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.