Triple

T15992032
Position Surface form Disambiguated ID Type / Status
Subject Roger Allam E387855 entity
Predicate notableWork P4 FINISHED
Object The Missing E856528 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: The Missing | Statement: [Roger Allam, notableWork, The Missing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Missing
Context triple: [Roger Allam, notableWork, 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. Two Missing
    Two Missing is a film featuring actress Sophie Kennedy Clark in a significant role.
  • E. The Vanished
    The Vanished is a 2020 American thriller film about parents desperately searching for their missing daughter during a family camping trip.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d3ef2881909213ff608192f1ef completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.