Triple

T13486571
Position Surface form Disambiguated ID Type / Status
Subject A Lot Like Love E318518 entity
Predicate producer P490 FINISHED
Object Cale Boyter E36079 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: Cale Boyter | Statement: [A Lot Like Love, producer, Cale Boyter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cale Boyter
Context triple: [A Lot Like Love, producer, Cale Boyter]
  • A. Cale Boyter chosen
    Cale Boyter is a film producer known for his work on major genre and franchise movies, including the science fiction action sequel "Pacific Rim: Uprising."
  • B. Shane Fontayne
    Shane Fontayne is a British rock guitarist and session musician best known for his work with artists such as Bruce Springsteen and Lone Justice.
  • C. Matthew Kellard
    Matthew Kellard is a screenwriter known for his work on the film "Night School."
  • D. Derek Wyatt
    Derek Wyatt is a British Labour politician who served as the Member of Parliament for the Kent constituency of Sittingbourne and Sheppey from 1997 to 2010.
  • E. Jarrad Rogers
    Jarrad Rogers is an Australian-born songwriter and record producer known for his work with a range of pop and R&B artists in the UK and internationally.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.