Triple

T20004908
Position Surface form Disambiguated ID Type / Status
Subject Nick Mohammed E494428 entity
Predicate name P16 FINISHED
Object Nick Mohammed 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: Nick Mohammed | Statement: [Nick Mohammed, name, Nick Mohammed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Mohammed
Context triple: [Nick Mohammed, name, Nick Mohammed]
  • A. Nick Mohammed chosen
    Nick Mohammed is a British actor, comedian, and writer best known for his role as the anxious kit man-turned-coach Nathan Shelley on the television series "Ted Lasso."
  • B. Wallace Mohammed
    Wallace Mohammed, better known as Warith Deen Mohammed, was an influential American Muslim leader who guided the transition of the Nation of Islam toward mainstream Sunni Islam.
  • C. Khalid Mohamed
    Khalid Mohamed is an Indian film critic, journalist, and filmmaker known for his work on several notable Hindi films as a writer and director.
  • D. Nick Hakim
    Nick Hakim is an American singer-songwriter and producer known for his soulful, psychedelic R&B sound and introspective, atmospheric recordings.
  • E. Zero Moustafa
    Zero Moustafa is the loyal lobby boy-turned-owner of the Grand Budapest Hotel and the central narrator of Wes Anderson’s film "The Grand Budapest Hotel."
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a46c748190a141ab5aac6ea250 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.