Triple

T21686936
Position Surface form Disambiguated ID Type / Status
Subject What's Your Number? E535253 entity
Predicate director P255 FINISHED
Object Mark Mylod 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: Mark Mylod | Statement: [What's Your Number?, director, Mark Mylod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Mylod
Context triple: [What's Your Number?, director, Mark Mylod]
  • A. Mark Mylod chosen
    Mark Mylod is a British film and television director and producer known for his work on acclaimed series like "Succession" and "Game of Thrones," as well as the dark comedy film "The Menu."
  • B. Wes Ball
    Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
  • C. Ken Turkin
    Ken Turkin is a musician best known as a member of the American garage rock band The Shadows of Knight.
  • D. Robert Luketic
    Robert Luketic is an Australian film director best known for helming popular Hollywood comedies such as "Legally Blonde" and "21."
  • E. Michael Grandage
    Michael Grandage is a British theatre and film director known for his acclaimed stage productions and for directing the romantic drama film "My Policeman."
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.