Triple

T7772350
Position Surface form Disambiguated ID Type / Status
Subject Kamal Haasan E179101 entity
Predicate name P16 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: [Kamal Haasan, name, Kamal Haasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamal Haasan
Context triple: [Kamal Haasan, name, 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e587067081909433d54263b79de6 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 4:11 p.m.