Triple

T23431535
Position Surface form Disambiguated ID Type / Status
Subject Nana Patekar E563345 entity
Predicate notableWork P4 FINISHED
Object Natsamrat NE NERFINISHED

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: Natsamrat | Statement: [Nana Patekar, notableWork, Natsamrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natsamrat
Context triple: [Nana Patekar, notableWork, Natsamrat]
  • A. Natsamrat chosen
    Natsamrat is a celebrated Marathi play, widely regarded as a landmark work in Indian theatre for its powerful portrayal of an aging stage actor confronting loss, legacy, and mortality.
  • B. Raja Hindustani
    Raja Hindustani is a popular 1996 Hindi romantic drama film starring Aamir Khan and Karisma Kapoor, known for its emotional storyline and hit music.
  • C. Mardaani
    Mardaani is a 2014 Indian crime thriller film that follows a tough female police officer’s pursuit of a child trafficking racket.
  • D. Aži Dahāg
    Aži Dahāg is a monstrous, many-headed dragon or serpent from ancient Iranian and Zoroastrian mythology, often depicted as a symbol of chaos and evil.
  • E. Sinhasan
    Sinhasan is a critically acclaimed Marathi political drama film known for its hard-hitting portrayal of power struggles and corruption in Maharashtra’s political system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.