Triple
T36647713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajrangi Bhaijaan |
E904756
|
entity |
| Predicate | childCharacterDisability |
P101225
|
FINISHED |
| Object | mute |
—
|
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: mute | Statement: [Bajrangi Bhaijaan, childCharacterDisability, mute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childCharacterDisability Context triple: [Bajrangi Bhaijaan, childCharacterDisability, mute]
-
A.
portraysCharacterWithDisability
chosen
Indicates that an entity depicts or represents a character who has a disability.
-
B.
childCharacter
Indicates that one entity is a child version or child role of another character entity.
-
C.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
D.
hasDisabilityRepresentation
Indicates that something includes, portrays, or accounts for the presence and experiences of people with disabilities.
-
E.
hasHumanDevelopmentChallenges
Indicates that an entity experiences or is associated with significant obstacles or difficulties related to human development, such as health, education, or living standards.
- 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:11 p.m.