Triple
T35930434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 41st NHL All-Star Game |
E1039144
|
entity |
| Predicate | coachCampbell |
P184918
|
FINISHED |
| Object | Mike Keenan |
—
|
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: Mike Keenan | Statement: [41st NHL All-Star Game, coachCampbell, Mike Keenan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachCampbell Context triple: [41st NHL All-Star Game, coachCampbell, Mike Keenan]
-
A.
coachSince
Indicates that one entity has been serving as a coach for another entity starting from a specified point in time.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
conferenceCoach
Indicates a person who provides guidance, training, or mentorship to participants in the context of a conference or similar professional gathering.
-
D.
Steven Caldwell
Indicates a relationship or action involving the entity named "Steven Caldwell," though the specific nature of the relationship is not defined by the predicate alone.
-
E.
coachAlumnus
Indicates that one person serves or has served as a coach of a team or organization associated with which the other person is an alumnus.
- 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:07 p.m.