Triple

T5359049
Position Surface form Disambiguated ID Type / Status
Subject Fantastic Beasts: The Crimes of Grindelwald E102773 entity
Predicate editedBy P1954 FINISHED
Object Mark Day E117459 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: Mark Day | Statement: [Fantastic Beasts: The Crimes of Grindelwald, editedBy, Mark Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Day
Context triple: [Fantastic Beasts: The Crimes of Grindelwald, editedBy, Mark Day]
  • A. Mark Day chosen
    Mark Day is a British film editor best known for his long-time collaboration with director David Yates on several Harry Potter films and other major studio productions.
  • B. Timothy Day
    Timothy Day is an American flutist best known as the longtime principal flute of the San Francisco Symphony and a prominent orchestral performer and teacher.
  • C. Kenneth Dayes
    Kenneth Dayes is a musician best known as a member of the Jamaican roots reggae band Culture.
  • D. Ken Maynard
    Ken Maynard was a popular American silent- and early sound-era Western film star and stunt rider known for his roles as a cowboy hero.
  • E. Guy Day
    Guy Day was an American advertising executive best known as the co-founder of the influential agency Chiat/Day, which produced iconic campaigns such as Apple’s “1984” commercial.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e955a8819094a0b12e42e2d6a6 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.