Triple

T10708060
Position Surface form Disambiguated ID Type / Status
Subject Ben Davis E252458 entity
Predicate notableWork P4 FINISHED
Object Layer Cake E53909 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: Layer Cake | Statement: [Ben Davis, notableWork, Layer Cake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Layer Cake
Context triple: [Ben Davis, notableWork, Layer Cake]
  • A. Layer Cake chosen
    Layer Cake is a 2004 British crime thriller film directed by Matthew Vaughn, known for its stylish depiction of London’s criminal underworld and for helping launch Daniel Craig to wider fame.
  • B. Beecake
    Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
  • C. Snow Cake
    Snow Cake is a 2006 Canadian drama film starring Sigourney Weaver and Carrie-Anne Moss that explores the relationship between a reserved man and an autistic woman he meets after a tragic accident.
  • D. Cake
    "Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
  • E. Cake
    Cake is an American alternative rock band known for its deadpan vocals, eclectic instrumentation, and ironic, genre-blending covers of well-known songs.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:13 p.m.