Triple

T16183669
Position Surface form Disambiguated ID Type / Status
Subject Dangal E392744 entity
Predicate screenwriter P2831 FINISHED
Object Nitesh Tiwari E1219642 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: Nitesh Tiwari | Statement: [Dangal, screenwriter, Nitesh Tiwari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitesh Tiwari
Context triple: [Dangal, screenwriter, Nitesh Tiwari]
  • A. Nitesh Tiwari chosen
    Nitesh Tiwari is an Indian film director and screenwriter best known for helming the blockbuster biographical sports drama "Dangal" and the coming-of-age hit "Chhichhore."
  • B. Sanju Sharma
    Sanju Sharma is a key character in the 1992 Indian sports drama film "Jo Jeeta Wohi Sikandar," known for being part of the central college rivalry and emotional storyline.
  • C. Pankaj Tripathi
    Pankaj Tripathi is an acclaimed Indian actor known for his versatile character roles in Hindi films and web series such as Gangs of Wasseypur, Newton, and Mirzapur.
  • D. Anupam Tripathi
    Anupam Tripathi is an Indian actor best known internationally for his breakout role as Ali Abdul in the South Korean Netflix series "Squid Game."
  • E. David Dhawan
    David Dhawan is a prominent Indian film director best known for his popular Bollywood comedy films, especially those starring Govinda in the 1990s and early 2000s.
  • 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_69e2205fc080819097858f36253fef7c completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:02 a.m.