Triple

T16685644
Position Surface form Disambiguated ID Type / Status
Subject Paresh Rawal E405455 entity
Predicate name P16 FINISHED
Object Paresh Rawal E405455 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: Paresh Rawal | Statement: [Paresh Rawal, name, Paresh Rawal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paresh Rawal
Context triple: [Paresh Rawal, name, Paresh Rawal]
  • A. Paresh Rawal chosen
    Paresh Rawal is a renowned Indian actor and comedian celebrated for his versatile performances in Hindi cinema and theatre.
  • B. Sooraj Pancholi
    Sooraj Pancholi is an Indian film actor known for his Bollywood debut in the romantic action film "Hero" (2015) and for being the son of actors Aditya Pancholi and Zarina Wahab.
  • C. Rahul Khanna
    Rahul Khanna is an Indian actor known for his work in Hindi films and television, often recognized for his nuanced performances and understated screen presence.
  • D. 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.
  • E. 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."
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea550c0819085bd36c44237a61a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf6507081909f6a49c003f9d6d6 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:19 a.m.