Triple
T26978701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pradosh Chandra Mitter |
E679531
|
entity |
| Predicate | martialArtsSkill |
P110098
|
FINISHED |
| Object | judo |
—
|
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: judo | Statement: [Pradosh Chandra Mitter, martialArtsSkill, judo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: martialArtsSkill Context triple: [Pradosh Chandra Mitter, martialArtsSkill, judo]
-
A.
martialArt
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to another entity.
-
B.
skillType
Indicates the specific category or kind of skill that characterizes or classifies an associated skill-related entity or action.
-
C.
killsAt
Indicates that one entity causes the death of another entity at a specific time or event.
-
D.
sportsSkill
chosen
Indicates that an entity possesses a particular ability, proficiency, or level of competence in performing a sport or sports-related activity.
-
E.
isGrapplingArt
Indicates that the subject is a martial art or combat style primarily focused on grappling techniques such as holds, locks, and throws.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621548d9081908cd4540b909d01f6 |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:44 a.m.