Triple

T11792406
Position Surface form Disambiguated ID Type / Status
Subject Pankaj Kapur E280419 entity
Predicate notableWork P4 FINISHED
Object Ek Doctor Ki Maut E687316 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: Ek Doctor Ki Maut | Statement: [Pankaj Kapur, notableWork, Ek Doctor Ki Maut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ek Doctor Ki Maut
Context triple: [Pankaj Kapur, notableWork, Ek Doctor Ki Maut]
  • A. Ek Doctor Ki Maut chosen
    Ek Doctor Ki Maut is a critically acclaimed Indian drama film that explores the struggles of an idealistic doctor facing bureaucratic apathy and social prejudice after making a groundbreaking medical discovery.
  • B. The Indian Doctor
    The Indian Doctor is a British period drama television series set in 1960s Wales, following an Indian physician and his wife as they adjust to life in a small mining village.
  • C. Jeevan Mrityu
    Jeevan Mrityu is an Indian film produced by AVM Productions, recognized as one of the notable titles in the studio’s catalog.
  • D. Mrityu
    Mrityu is a personification of death in Hindu mythology, closely associated with the god Yama as an embodiment of mortality and the end of life.
  • E. La Dotta
    La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:42 p.m.