Triple

T8565017
Position Surface form Disambiguated ID Type / Status
Subject Mani Ratnam E202781 entity
Predicate notableWork P4 FINISHED
Object Nayakan E202786 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: Nayakan | Statement: [Mani Ratnam, notableWork, Nayakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayakan
Context triple: [Mani Ratnam, notableWork, Nayakan]
  • A. Nayakan chosen
    Nayakan is a critically acclaimed 1987 Tamil crime drama film directed by Mani Ratnam, renowned for Kamal Haasan’s powerful performance and its portrayal of a Mumbai underworld don.
  • B. Nayak
    Nayak is a 1966 Bengali film directed by Satyajit Ray that explores the inner life and moral conflicts of a matinee idol during an overnight train journey.
  • C. Nayak
    Nayak refers to the dynasty of South Indian rulers, particularly known for their reign over Madurai and their significant contributions to Dravidian art, architecture, and culture during the post-Vijayanagara period.
  • D. Bheemla Nayak
    Bheemla Nayak is a 2022 Telugu-language action drama film, a remake of the Malayalam movie Ayyappanum Koshiyum, known for its intense face-off between a principled cop and an influential ex-army man.
  • E. Kaalpurush
    Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea87badf081909727808f0e14ae45 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:20 p.m.