Triple
T2905413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Melrose |
E62749
|
entity |
| Predicate | styleOfPlayOrCoaching |
P29237
|
FINISHED |
| Object | defensive-minded coaching style |
—
|
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: defensive-minded coaching style | Statement: [Barry Melrose, styleOfPlayOrCoaching, defensive-minded coaching style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfPlayOrCoaching Context triple: [Barry Melrose, styleOfPlayOrCoaching, defensive-minded coaching style]
-
A.
styleOfPlay
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
B.
sideOfBallCoached
Indicates which side or unit of a ball (e.g., offense, defense, special teams) a coach is responsible for.
-
C.
coachingTrait
chosen
Indicates that one entity possesses a characteristic, style, or quality specifically related to coaching.
-
D.
influencedByCoach
Indicates that an entity’s performance, behavior, or development is affected or shaped by the guidance or actions of a coach.
-
E.
coachingSpecialty
Indicates that a coach focuses on or is specialized in a particular area, topic, or type of coaching.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cee7988190875665145c3cd605 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.