Triple

T16183277
Position Surface form Disambiguated ID Type / Status
Subject Qayamat Se Qayamat Tak E392737 entity
Predicate cinematographer P1953 FINISHED
Object Kiran Deohans E856675 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: Kiran Deohans | Statement: [Qayamat Se Qayamat Tak, cinematographer, Kiran Deohans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiran Deohans
Context triple: [Qayamat Se Qayamat Tak, cinematographer, Kiran Deohans]
  • A. Kiran Deohans chosen
    Kiran Deohans is an Indian cinematographer known for his visually rich work on major Bollywood films.
  • B. Sumbul Desai
    Sumbul Desai is a physician and Apple executive who leads the company’s health initiatives, including features related to wellness and medical research across its devices and services.
  • C. Vinda Karandikar
    Vinda Karandikar was a renowned Marathi poet, critic, and translator celebrated for his modernist contributions to 20th-century Marathi literature.
  • D. Narhari Parikh
    Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
  • E. Kanchan Desai
    Kanchan Desai is the daughter of legendary Indian film actor Shammi Kapoor.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.