Triple

T8335815
Position Surface form Disambiguated ID Type / Status
Subject Fantastic Beasts and Where to Find Them (film) E195782 entity
Predicate editor 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 and Where to Find Them (film), editor, Mark Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Day
Context triple: [Fantastic Beasts and Where to Find Them (film), editor, 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. Mark Day
    Mark Day is an English guitarist best known for his work with the influential Madchester band Happy Mondays.
  • C. 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.
  • D. Mike Dailey
    Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
  • E. Kenneth Dayes
    Kenneth Dayes is a musician best known as a member of the Jamaican roots reggae band Culture.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95d9b92c8190b1eb0e64aa7ea59e completed April 1, 2026, 10:02 p.m.
Created at: March 30, 2026, 5:57 p.m.