Triple

T18856844
Position Surface form Disambiguated ID Type / Status
Subject Brake Baldwin E461194 entity
Predicate appearsIn P795 FINISHED
Object The Missing NE NERFINISHED

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: The Missing | Statement: [Brake Baldwin, appearsIn, The Missing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Missing
Context triple: [Brake Baldwin, appearsIn, The Missing]
  • A. The Missing
    The Missing is a 2003 Western thriller film directed by Ron Howard, starring Tommy Lee Jones and Cate Blanchett, about a frontier woman who teams up with her estranged father to rescue her kidnapped daughter.
  • B. The Missing
    The Missing is a work of writing, likely a novel or story, authored by Sue Smith.
  • C. The Missing chosen
    The Missing is a British television drama series that follows the emotional and psychological fallout of a child's disappearance and the obsessive search that spans years and countries.
  • D. The Missing
    The Missing is a novel by Ken Kaufman, best known for its suspenseful exploration of loss and the search for a vanished loved one.
  • E. Two Missing
    Two Missing is a film featuring actress Sophie Kennedy Clark in a significant role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05d0bb8819094d0447441f85b57 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.