Triple

T16685710
Position Surface form Disambiguated ID Type / Status
Subject Satish Kaushik E405456 entity
Predicate name P16 FINISHED
Object Satish Kaushik E405456 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: Satish Kaushik | Statement: [Satish Kaushik, name, Satish Kaushik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satish Kaushik
Context triple: [Satish Kaushik, name, Satish Kaushik]
  • A. Satish Kaushik chosen
    Satish Kaushik was an Indian actor, director, producer, and screenwriter known for his work in Hindi cinema and theatre, as well as for his memorable comic roles and acclaimed direction.
  • 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. Ashok Saraf
    Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
  • D. Aravind Joshi
    Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
  • E. 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."
  • 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_6a00bb029fa081909c3e52d09637541a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:19 a.m.