Triple

T10548265
Position Surface form Disambiguated ID Type / Status
Subject A. R. Rahman E248877 entity
Predicate birthName P65 FINISHED
Object A. S. Dileep Kumar E248877 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: A. S. Dileep Kumar | Statement: [A. R. Rahman, birthName, A. S. Dileep Kumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. S. Dileep Kumar
Context triple: [A. R. Rahman, birthName, A. S. Dileep Kumar]
  • A. A. S. Dileep Kumar chosen
    A. S. Dileep Kumar is the birth name of A. R. Rahman, the acclaimed Indian composer, singer, and music producer renowned for his work in film and world music.
  • B. K. Dinesh
    K. Dinesh is an Indian entrepreneur and co-founder of the global IT services and consulting company Infosys.
  • C. Kishore Sahu
    Kishore Sahu was a prominent Indian film director, actor, and producer known for his influential work during the Golden Age of Hindi cinema.
  • D. Akhilendra Mishra
    Akhilendra Mishra is an Indian film and television actor known for his character roles in Hindi cinema and TV, including notable performances in movies like Lagaan and Sarfarosh.
  • E. M. Sasikumar
    M. Sasikumar is an Indian filmmaker and actor best known for his critically acclaimed Tamil film "Subramaniapuram," which he directed and starred in.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d305d081909b48d244e1cfa092 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93457af7c819090f576ae606c5849 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:33 p.m.