Triple

T8565296
Position Surface form Disambiguated ID Type / Status
Subject Nayakan E202786 entity
Predicate cinematographyBy P1953 FINISHED
Object P. C. Sreeram E763907 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: P. C. Sreeram | Statement: [Nayakan, cinematographyBy, P. C. Sreeram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P. C. Sreeram
Context triple: [Nayakan, cinematographyBy, P. C. Sreeram]
  • A. P. C. Sreeram chosen
    P. C. Sreeram is a renowned Indian cinematographer celebrated for his innovative visual style and influential work in Tamil and Hindi cinema.
  • B. S. V. Krishnamoorthy Rao
    S. V. Krishnamoorthy Rao was an Indian politician who became the inaugural Deputy Chairman of the Rajya Sabha, the upper house of India’s Parliament.
  • C. K. K. Venugopal
    K. K. Venugopal is a prominent Indian jurist who served as the Attorney General for India and is renowned for his constitutional law expertise and appearances before the Supreme Court.
  • D. V. Kamakoti
    V. Kamakoti is an Indian computer scientist and academic leader known for his contributions to computer architecture and for heading the Indian Institute of Technology Madras.
  • E. P. Thyagarajan
    P. Thyagarajan is a film producer known for his work on the acclaimed Tamil anthology thriller "Super Deluxe."
  • 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_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f4e2d881908fb539e842c20e8d completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:20 p.m.