Triple
T553117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Holzman |
E11883
|
entity |
| Predicate | coachingStyle |
P13768
|
FINISHED |
| Object | defense-oriented |
—
|
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: defense-oriented | Statement: [Red Holzman, coachingStyle, defense-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingStyle Context triple: [Red Holzman, coachingStyle, defense-oriented]
-
A.
coachingSpecialty
chosen
Indicates that a coach focuses on or is specialized in a particular area, topic, or type of coaching.
-
B.
coachingTreeIncludes
Indicates that one coach is part of, or derived from, another coach’s coaching lineage or mentorship hierarchy.
-
C.
hasDecisionMakingStyle
Indicates that an entity possesses or exhibits a particular way or pattern of making decisions.
-
D.
styleOfPlay
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
E.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991b296481908cf27e1d1ec67052 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bc1f8c8190904356f3a8e801de |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.