Triple

T22094484
Position Surface form Disambiguated ID Type / Status
Subject Jaane Bhi Do Yaaro E545989 entity
Predicate castMember P1668 FINISHED
Object Satish Shah 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: Satish Shah | Statement: [Jaane Bhi Do Yaaro, castMember, Satish Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satish Shah
Context triple: [Jaane Bhi Do Yaaro, castMember, Satish Shah]
  • A. Satish Shah chosen
    Satish Shah is an Indian actor best known for his comic roles in Hindi films and television, particularly in popular sitcoms like "Yeh Jo Hai Zindagi" and "Sarabhai vs Sarabhai."
  • B. Satish Jain
    Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
  • C. Rasesh Bhatt
    Rasesh Bhatt is known primarily as the husband of renowned Indian cooperative organizer and SEWA founder Ela Bhatt.
  • D. Jigar Shah
    Jigar Shah is a clean energy entrepreneur and investor best known as the founder of SunEdison and a prominent advocate for market-based climate solutions.
  • E. Santosh Patel
    Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.