Triple
T13941624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Jai White |
E335267
|
entity |
| Predicate | hasPracticedMartialArt |
P18145
|
FINISHED |
| Object | Brazilian jiu-jitsu |
—
|
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: Brazilian jiu-jitsu | Statement: [Michael Jai White, hasPracticedMartialArt, Brazilian jiu-jitsu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPracticedMartialArt Context triple: [Michael Jai White, hasPracticedMartialArt, Brazilian jiu-jitsu]
-
A.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
B.
martialArt
chosen
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to another entity.
-
C.
practicedWith
Indicates that one entity engaged in practice or training together with another entity.
-
D.
hasPractices
Indicates that an entity engages in, follows, or carries out specific practices, methods, or customary ways of doing things.
-
E.
isPracticedBy
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.