Triple

T17210890
Position Surface form Disambiguated ID Type / Status
Subject Henry F. Korth E417725 entity
Predicate coAuthorWith P398 FINISHED
Object S. Sudarshan E173645 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. Sudarshan | Statement: [Henry F. Korth, coAuthorWith, S. Sudarshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S. Sudarshan
Context triple: [Henry F. Korth, coAuthorWith, S. Sudarshan]
  • A. S. Sudarshan chosen
    S. Sudarshan is a computer scientist and academic known for his contributions to database systems and co-authoring a leading textbook in the field.
  • B. E. C. G. Sudarshan
    E. C. G. Sudarshan was an Indian theoretical physicist renowned for his foundational contributions to quantum field theory, particle physics, and the theory of tachyons.
  • C. Vijay Kenkre
    Vijay Kenkre is a prominent Indian theatre director and actor known for his influential work in Marathi stage productions.
  • D. Chandrasekharan Narasimhan
    Chandrasekharan Narasimhan was an Indian mathematician known for his contributions to number theory and for being a prominent student of Louis Mordell.
  • E. Dinesh Nandan Sahay
    Dinesh Nandan Sahay was an Indian politician and former police officer who became the inaugural Governor of the state of Chhattisgarh.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe217308190b6ae1e98d0c421e4 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.