Triple

T8738984
Position Surface form Disambiguated ID Type / Status
Subject Kaaka Muttai E207455 entity
Predicate producer P490 FINISHED
Object Vetrimaaran E202784 NE 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: Vetrimaaran | Statement: [Kaaka Muttai, producer, Vetrimaaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vetrimaaran
Context triple: [Kaaka Muttai, producer, Vetrimaaran]
  • A. Vetrimaaran chosen
    Vetrimaaran is an acclaimed Indian filmmaker and screenwriter known for his gritty, realistic Tamil-language films and multiple National Film Awards.
  • B. Pandianadu
    Pandianadu is a Tamil-language action drama film known for its rural setting and intense storytelling, featuring filmmaker Bharathiraja in an acting role.
  • C. Thevar Magan
    Thevar Magan is a critically acclaimed 1992 Tamil drama film, starring Kamal Haasan and Sivaji Ganesan, that explores themes of rural caste politics, family honor, and generational conflict.
  • D. Nayaka
    Nayaka refers to a South Indian-origin royal and warrior community historically influential in the politics and courts of Sri Lanka and southern India.
  • E. Kaatru Veliyidai
    Kaatru Veliyidai is a 2017 Tamil-language romantic war drama film directed by Mani Ratnam, known for its intense love story, striking visuals, and A. R. Rahman’s acclaimed music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88dc7ba88190865957c8d344fa00 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:38 p.m.