Triple

T18389264
Position Surface form Disambiguated ID Type / Status
Subject Rehman E449677 entity
Predicate hasNotableBearer P458 FINISHED
Object Shabana Rehman NE NERFINISHED

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: Shabana Rehman | Statement: [Rehman, hasNotableBearer, Shabana Rehman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shabana Rehman
Context triple: [Rehman, hasNotableBearer, Shabana Rehman]
  • A. Shabana Rehman chosen
    Shabana Rehman was a Norwegian-Pakistani comedian, writer, and outspoken social commentator known for her fearless criticism of religious extremism and advocacy for freedom of expression and immigrant rights.
  • B. Shabana Azmi
    Shabana Azmi is a renowned Indian actress acclaimed for her powerful performances in parallel cinema and mainstream Bollywood, as well as for her longstanding social and political activism.
  • C. Asha Rambally
    Asha Rambally is a prominent activist and intellectual associated with South Africa’s Black Consciousness Movement, known for advancing Black political and cultural empowerment.
  • D. Rakhhee Gulzar
    Rakhhee Gulzar is an acclaimed Indian film actress best known for her powerful performances in Hindi cinema during the 1970s and 1980s.
  • E. Sonali Bendre
    Sonali Bendre is an Indian film actress and former model best known for her work in popular Hindi films of the 1990s and early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e51840884c81908e84e9206b4739ee completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.