Triple

T22433157
Position Surface form Disambiguated ID Type / Status
Subject English Vinglish E554546 entity
Predicate remadeOrDubbedIn P119067 FINISHED
Object Tamil 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: Tamil | Statement: [English Vinglish, remadeOrDubbedIn, Tamil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: remadeOrDubbedIn
Context triple: [English Vinglish, remadeOrDubbedIn, Tamil]
  • A. dubbedFor
    Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
  • B. remadeFor chosen
    Indicates that one work has been recreated or adapted specifically for another context, audience, or medium.
  • C. languageDubbedIn
    Indicates that the content’s audio has been dubbed into the specified language.
  • D. adaptedInLanguage
    Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
  • E. hasRemake
    Indicates that one work is a new version or recreation of an earlier existing work.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.