Triple

T22229672
Position Surface form Disambiguated ID Type / Status
Subject Shailendra E549432 entity
Predicate workedOn P3 FINISHED
Object Anari 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: Anari | Statement: [Shailendra, workedOn, Anari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anari
Context triple: [Shailendra, workedOn, Anari]
  • A. Anari chosen
    Anari is a 1959 Hindi romantic drama film starring Raj Kapoor and Nutan, celebrated for its music and social themes.
  • B. Anari
    Anari is a 1993 Hindi romantic drama film starring Karisma Kapoor and Venkatesh, known for its music and commercial success.
  • C. Anara
    Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
  • D. Arnara
    Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
  • E. Anhaica
    Anhaica was the principal town and political center of the Apalachee people in what is now the Florida Panhandle during the early contact period with Europeans.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf173308190a3d21bfc59b39728 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.