Triple

T20384816
Position Surface form Disambiguated ID Type / Status
Subject The Kidnappers E497931 entity
Predicate awardReceivedBy P11 FINISHED
Object Vincent Winter 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: Vincent Winter | Statement: [The Kidnappers, awardReceivedBy, Vincent Winter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Winter
Context triple: [The Kidnappers, awardReceivedBy, Vincent Winter]
  • A. Vincent Winter chosen
    Vincent Winter was a Scottish child actor who gained prominence in the 1950s and 1960s, later working behind the scenes in film production.
  • B. J. Peter Robinson
    J. Peter Robinson is a British composer, arranger, and keyboardist known for his film and television scores as well as his work in rock and jazz fusion.
  • C. Theodore Winter
    Theodore Winter is a high-ranking CIA officer and the main antagonist in the 2010 action thriller film "Salt."
  • D. Reed Farrel Coleman
    Reed Farrel Coleman is an American crime fiction author acclaimed for his hardboiled novels and multiple award-winning contributions to the mystery genre.
  • E. Louis Davenport
    Louis Davenport was a prominent early 20th-century hotelier and businessman best known for founding and developing the luxury Davenport Hotel in Spokane, Washington.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790a31a4819099b2e6df2bafe547 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.