Triple
T25219806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Diaz |
E631929
|
entity |
| Predicate | boxingStyleCharacteristic |
P73075
|
FINISHED |
| Object | high-volume punching |
—
|
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: high-volume punching | Statement: [Juan Diaz, boxingStyleCharacteristic, high-volume punching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boxingStyleCharacteristic Context triple: [Juan Diaz, boxingStyleCharacteristic, high-volume punching]
-
A.
boxingStance
Indicates the specific posture or positioning a boxer adopts while preparing to fight or engage in boxing actions.
-
B.
combatStyleAgainst
Indicates the specific way or method one entity uses to fight or engage in combat when facing another entity.
-
C.
打撃スタイル
chosen
Indicates a relationship where an entity is characterized by or associated with a particular style or manner of striking or hitting.
-
D.
kickingStyle
Indicates the manner or technique with which an entity performs a kicking action in a given context.
-
E.
martialArt
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to another entity.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47b914fe08190b104ecc2583ce1f7 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:02 p.m.