Triple

T5857317
Position Surface form Disambiguated ID Type / Status
Subject Marathi theatre E130184 entity
Predicate hasNotableDirector P4744 FINISHED
Object Satish Alekar E553827 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 Alekar | Statement: [Marathi theatre, hasNotableDirector, Satish Alekar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satish Alekar
Context triple: [Marathi theatre, hasNotableDirector, Satish Alekar]
  • A. Satish Alekar chosen
    Satish Alekar is a prominent Indian playwright, actor, and director known for his innovative and influential contributions to modern Marathi theatre.
  • B. Satish Kaushik
    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.
  • C. 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.
  • D. Satish Shah
    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."
  • E. 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.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355755508190ab349cdcf0c8a58d completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfdd5920819087f48db024e4a3ed completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:56 p.m.