Triple

T7730108
Position Surface form Disambiguated ID Type / Status
Subject Srijit Mukherji E175226 entity
Predicate directed P7373 FINISHED
Object Chotushkone E685176 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: Chotushkone | Statement: [Srijit Mukherji, directed, Chotushkone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chotushkone
Context triple: [Srijit Mukherji, directed, Chotushkone]
  • A. Chotushkone chosen
    Chotushkone is a Bengali thriller film structured around four interlinked stories, noted for its meta-cinematic narrative and direction by Srijit Mukherji.
  • B. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • C. Cheremule
    Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
  • D. Chakvi
    Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
  • E. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.