Triple
T28830139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Dungjen |
E728023
|
entity |
| Predicate | coachAt |
P153749
|
FINISHED |
| Object | Detroit Skating Club |
—
|
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: Detroit Skating Club | Statement: [Jason Dungjen, coachAt, Detroit Skating Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachAt Context triple: [Jason Dungjen, coachAt, Detroit Skating Club]
-
A.
coachProfession
Indicates that one entity serves professionally as a coach in relation to the other entity.
-
B.
conferenceCoach
Indicates a person who provides guidance, training, or mentorship to participants in the context of a conference or similar professional gathering.
-
C.
assistantCoachAt
Indicates that one entity serves in the role of assistant coach for a sports team, organization, or program represented by the other entity.
-
D.
coachSchool
Indicates that a person serves as a coach for a particular school or educational institution.
-
E.
coachingAt
chosen
Indicates that one entity is serving as a coach at, or providing coaching services within, a particular organization, institution, or location.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 6:37 a.m.