Triple

T8558989
Position Surface form Disambiguated ID Type / Status
Subject Enthiran E202643 entity
Predicate writtenBy P806 FINISHED
Object S. Shankar E748094 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: S. Shankar | Statement: [Enthiran, writtenBy, S. Shankar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S. Shankar
Context triple: [Enthiran, writtenBy, S. Shankar]
  • A. S. Shankar chosen
    S. Shankar is a prominent Indian film director known for his big-budget, visually spectacular Tamil-language movies that often blend science fiction, social themes, and mass entertainment.
  • B. Parthasarathy Srinivasan
    Parthasarathy Srinivasan is the birth name of Kamal Haasan, the acclaimed Indian actor, filmmaker, and screenwriter known for his work in Tamil cinema and Indian film.
  • C. N. S. Raghavan
    N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
  • D. K. Shankar
    K. Shankar is an Indian politician known for his leadership role in the Revolutionary Socialist Party, a left-wing political organization.
  • E. Rishikesha T. Krishnan
    Rishikesha T. Krishnan is an Indian management scholar and academic leader known for his work on innovation and strategy, and for serving as director of leading Indian Institutes of Management.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9485dd88190bc2cf2adf39d48ee completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf280edb288190a7db5486cc426253 completed April 3, 2026, 2:38 a.m.
Created at: March 30, 2026, 6:20 p.m.