Triple

T20553799
Position Surface form Disambiguated ID Type / Status
Subject Mehbooba Mufti E504664 entity
Predicate coFoundedWith P2835 FINISHED
Object Mufti Mohammad Sayeed 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: Mufti Mohammad Sayeed | Statement: [Mehbooba Mufti, coFoundedWith, Mufti Mohammad Sayeed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mufti Mohammad Sayeed
Context triple: [Mehbooba Mufti, coFoundedWith, Mufti Mohammad Sayeed]
  • A. Mufti Mohammad Sayeed chosen
    Mufti Mohammad Sayeed was an Indian politician who served twice as Chief Minister of Jammu and Kashmir and was a prominent leader in the region’s mainstream politics.
  • B. Farooq Abdullah
    Farooq Abdullah is an Indian politician and former Chief Minister of Jammu and Kashmir, long prominent in regional and national politics.
  • C. Tajudeen Abbas
    Tajudeen Abbas is a Nigerian politician who serves as Speaker of the country's House of Representatives.
  • D. Omar Abdullah
    Omar Abdullah is an Indian politician and former Chief Minister of Jammu and Kashmir, known for leading the Jammu & Kashmir National Conference party.
  • E. Shabir Ally
    Shabir Ally is a Canadian Muslim apologist and scholar known for his public debates and dialogues on Islam and Christianity.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5db052c8190801e53f6148113c8 completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.