Triple

T10212810
Position Surface form Disambiguated ID Type / Status
Subject Allah Rakha Rahman E242372 entity
Predicate name P16 FINISHED
Object Allah Rakha Rahman E242372 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: Allah Rakha Rahman | Statement: [Allah Rakha Rahman, name, Allah Rakha Rahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allah Rakha Rahman
Context triple: [Allah Rakha Rahman, name, Allah Rakha Rahman]
  • A. Allah Rakha Rahman chosen
    Allah Rakha Rahman is an acclaimed Indian composer, singer, and music producer renowned worldwide for his innovative film scores and multiple Academy Award-winning soundtracks.
  • B. Ar-Rahman
    Ar-Rahman is one of the most significant names of God in Islam, emphasizing His boundless and all-encompassing mercy toward all creation.
  • C. Ar-Rahim
    Ar-Rahim is one of the 99 Names of Allah in Islam, signifying God as the Especially Merciful whose compassion is continuously bestowed upon His creation.
  • D. Rahman
    Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
  • E. Rahmat
    Rahmat is the central character of Rabindranath Tagore’s short story "Kabuliwala," an Afghan fruit seller in Kolkata whose poignant bond with a young girl highlights themes of love, separation, and humanity.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa23bce881909b5deac612ec22cb completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652e25be88190a6f1763e9e86666a completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:03 a.m.