Triple

T8559100
Position Surface form Disambiguated ID Type / Status
Subject Vikram (2022 film) E202645 entity
Predicate leadActor P1507 FINISHED
Object Kamal Haasan E179101 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: Kamal Haasan | Statement: [Vikram (2022 film), leadActor, Kamal Haasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamal Haasan
Context triple: [Vikram (2022 film), leadActor, Kamal Haasan]
  • A. Kamal Hasan chosen
    Kamal Hasan is a renowned Indian film actor, director, and producer celebrated for his versatile performances across multiple Indian film industries, particularly Tamil cinema.
  • B. Vijayakanth
    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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9485dd88190bc2cf2adf39d48ee completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42459a048190a5c480f4a212607a completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:20 p.m.