Triple

T13763544
Position Surface form Disambiguated ID Type / Status
Subject N. S. Raghavan E330675 entity
Predicate name P16 FINISHED
Object N. S. Raghavan E330675 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: N. S. Raghavan | Statement: [N. S. Raghavan, name, N. S. Raghavan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N. S. Raghavan
Context triple: [N. S. Raghavan, name, N. S. Raghavan]
  • A. N. S. Raghavan chosen
    N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
  • B. A. L. Ramesh
    A. L. Ramesh is an Indian film editor known for his work in Tamil cinema, including editing the acclaimed film "Subramaniapuram."
  • C. S. Shankar
    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.
  • D. 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.
  • E. E. S. L. Narasimhan
    E. S. L. Narasimhan is an Indian civil servant and former intelligence officer who served as a long-tenured state governor, including in Andhra Pradesh and Telangana.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06faed88190abc44e6256cb9301 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.