Triple

T8738932
Position Surface form Disambiguated ID Type / Status
Subject Vijayakanth E207454 entity
Predicate name P16 FINISHED
Object Vijayakanth E207454 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: Vijayakanth | Statement: [Vijayakanth, name, Vijayakanth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijayakanth
Context triple: [Vijayakanth, name, Vijayakanth]
  • A. Vijayakanth chosen
    Vijayakanth is an Indian actor-turned-politician best known for his leading roles in Tamil cinema and for founding the Desiya Murpokku Dravida Kazhagam (DMDK) party.
  • B. Sivaji Ganesan
    Sivaji Ganesan was a legendary Indian film actor renowned for his powerful performances and versatility, widely regarded as one of the greatest stars in the history of Tamil cinema.
  • C. Sathyaraj
    Sathyaraj is an Indian actor and media personality best known for his versatile roles in Tamil cinema and his widely acclaimed performance as Kattappa in the Baahubali film series.
  • D. Ramkumar Ganesan
    Ramkumar Ganesan is an Indian film producer and actor, known for his work in Tamil cinema and as the son of legendary actor Sivaji Ganesan.
  • E. Chiranjeevi
    Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
  • 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_69cfdb7875448190a2478cbb623c31e6 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:38 p.m.