Triple

T8564839
Position Surface form Disambiguated ID Type / Status
Subject Vijay E202777 entity
Predicate notableWork P4 FINISHED
Object Sarkar E743880 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: Sarkar | Statement: [Vijay, notableWork, Sarkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarkar
Context triple: [Vijay, notableWork, Sarkar]
  • A. Sarkar chosen
    Sarkar is a 2018 Tamil-language political action film directed by A.R. Murugadoss and starring Vijay, known for its themes of electoral reform and its commercial success in Indian cinema.
  • B. Nagarik
    Nagarik is an early Bengali-language film by Ritwik Ghatak, recognized for its realistic portrayal of post-partition urban life and often regarded as a pioneering work of Indian parallel cinema.
  • C. Rajkahini
    Rajkahini is a Bengali period drama film set against the backdrop of the 1947 Partition of Bengal, known for its ensemble cast of women and its exploration of displacement, violence, and identity.
  • D. Chakari
    Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
  • E. Kapurush
    Kapurush is a 1965 Bengali drama film directed by Satyajit Ray, known for its nuanced exploration of moral cowardice and complex human relationships.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d11274819099cc33a21a993a1f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea87badf081909727808f0e14ae45 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:20 p.m.