Triple

T7772385
Position Surface form Disambiguated ID Type / Status
Subject Kamal Haasan E179101 entity
Predicate founded P104 FINISHED
Object Makkal Needhi Maiam E687713 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: Makkal Needhi Maiam | Statement: [Kamal Haasan, founded, Makkal Needhi Maiam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makkal Needhi Maiam
Context triple: [Kamal Haasan, founded, Makkal Needhi Maiam]
  • A. Makkal Needhi Maiam chosen
    Makkal Needhi Maiam is an Indian regional political party founded by actor-turned-politician Kamal Haasan, primarily active in the state of Tamil Nadu.
  • B. Unmai Vilakkam
    Unmai Vilakkam is a classic Tamil philosophical work that expounds the core metaphysical and devotional teachings of Shaiva Siddhanta.
  • C. Kaaka Muttai
    Kaaka Muttai is a critically acclaimed Tamil film that follows two slum-dwelling brothers on a humorous yet poignant quest to taste pizza, exploring themes of class, aspiration, and urban poverty.
  • D. Kadhalan
    Kadhalan is a popular 1994 Tamil romantic thriller film best known for its chart-topping soundtrack composed by A. R. Rahman.
  • E. Mullaippāṭṭu
    Mullaippāṭṭu is a classical Tamil poem from the Sangam era, celebrated for its depiction of love and separation set against a pastoral landscape.
  • 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_69c8d6d65e308190924c05df5a0a4959 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.