Triple

T14083797
Position Surface form Disambiguated ID Type / Status
Subject Babylon (2022 film) E338936 entity
Predicate editor P1954 FINISHED
Object Tom Cross E221280 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: Tom Cross | Statement: [Babylon (2022 film), editor, Tom Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Cross
Context triple: [Babylon (2022 film), editor, Tom Cross]
  • A. Tom Cross chosen
    Tom Cross is an Academy Award–winning American film editor known for his work on acclaimed movies such as "Whiplash" and "La La Land."
  • B. Bradley Lee Daugherty
    Bradley Lee Daugherty is a retired American professional basketball player best known as a five-time NBA All-Star center for the Cleveland Cavaliers and later as a NASCAR team owner and racing analyst.
  • C. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • D. Mike Wheeler
    Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
  • E. John Stockwell
    John Stockwell is an American film director, screenwriter, and actor known for helming stylish action and thriller films such as "Into the Blue."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb676620481908ed2fa5687a21866 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.