Triple

T2216383
Position Surface form Disambiguated ID Type / Status
Subject Marv Films E48040 entity
Predicate workOn P30363 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: [Marv Films, workOn, Layer Cake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Layer Cake
Context triple: [Marv Films, workOn, 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. 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.
  • D. The Doughnut
    The Doughnut is the distinctive circular headquarters building of the UK's Government Communications Headquarters (GCHQ) intelligence and security organization in Cheltenham.
  • E. Crumbs
    "Crumbs" is a pop single by American singer Rebecca Black, showcasing her evolution from viral teen sensation to more mature, independent artist.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc00f4c3881909d03301fcdfa8b67 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8941dbc88190b8c2b8afd135a3d1 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:46 p.m.