Triple
T26631447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Yoast |
E668504
|
entity |
| Predicate | coachedWith |
P20670
|
FINISHED |
| Object | Herman Boone |
—
|
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: Herman Boone | Statement: [Bill Yoast, coachedWith, Herman Boone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedWith Context triple: [Bill Yoast, coachedWith, Herman Boone]
-
A.
coachedAlongside
chosen
Indicates that two or more individuals served as coaches at the same time, typically for the same team, organization, or event.
-
B.
coachedFrom
Indicates that one entity served as a coach or trainer for another entity during a specified period or context.
-
C.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
D.
coachedUntil
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
-
E.
coachedEarlyCareerOf
Indicates that one entity served as a coach or mentor to another during the early stage of that other entity’s career.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 2:25 a.m.