Triple
T29336043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitti |
E743907
|
entity |
| Predicate | hasDubbedAppearancesIn |
P83674
|
FINISHED |
| Object | Hindi |
—
|
NE NERFINISHED |
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: Hindi | Statement: [Chitti, hasDubbedAppearancesIn, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDubbedAppearancesIn Context triple: [Chitti, hasDubbedAppearancesIn, Hindi]
-
A.
dubbedFor
Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
-
B.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
C.
languageDubbedIn
chosen
Indicates that the content’s audio has been dubbed into the specified language.
-
D.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
E.
includesSpokenWordAppearanceBy
Indicates that something (such as a work, recording, or event) contains an instance where a person or entity appears through spoken words.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66923914081909676c70c14a50af4 |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 1:31 p.m.