Triple
T27146368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan McCaffrey |
E681957
|
entity |
| Predicate | coachAtNorthernColorado |
P153749
|
FINISHED |
| Object | Ed McCaffrey |
—
|
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: Ed McCaffrey | Statement: [Dylan McCaffrey, coachAtNorthernColorado, Ed McCaffrey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachAtNorthernColorado Context triple: [Dylan McCaffrey, coachAtNorthernColorado, Ed McCaffrey]
-
A.
OregonCoach
Indicates that a person holds or has held a coaching position for a sports team associated with Oregon (such as the University of Oregon or a professional team based in Oregon).
-
B.
homeVenueColorado
Indicates that an entity’s home venue or primary location is in the state of Colorado.
-
C.
coachesFor
Indicates that one entity serves as a coach or trainer for another entity, typically providing guidance, instruction, or leadership in a specific activity or domain.
-
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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 9:11 a.m.