Triple

T22012366
Position Surface form Disambiguated ID Type / Status
Subject Rang Rasiya E543607 entity
Predicate editedBy P1954 FINISHED
Object Amitabh Shukla 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: Amitabh Shukla | Statement: [Rang Rasiya, editedBy, Amitabh Shukla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amitabh Shukla
Context triple: [Rang Rasiya, editedBy, Amitabh Shukla]
  • A. Amitabh Shukla chosen
    Amitabh Shukla is an Indian film editor known for his work on notable Bollywood films, including the historical drama "Mangal Pandey: The Rising."
  • B. Ravi Nandan
    Ravi Nandan is a television and film producer known for his executive production work on comedy series such as "Playing House."
  • C. Sanjay Sankla
    Sanjay Sankla is an Indian film editor known for his work on Hindi cinema, including the popular film "Hum Hain Rahi Pyar Ke."
  • D. Himanshu Rai
    Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
  • E. Hemant Chaturvedi
    Hemant Chaturvedi is an Indian cinematographer known for his visually striking work on acclaimed films such as Maqbool.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a5e624819082ed5beeb4bc82fa completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.