Triple

T9459837
Position Surface form Disambiguated ID Type / Status
Subject Green for Danger E228116 entity
Predicate basedOn P98 FINISHED
Object Green for Danger (novel) E228116 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: Green for Danger (novel) | Statement: [Green for Danger, basedOn, Green for Danger (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green for Danger (novel)
Context triple: [Green for Danger, basedOn, Green for Danger (novel)]
  • A. Green for Danger chosen
    Green for Danger is a 1946 British mystery film set in a wartime hospital, renowned for its blend of whodunit suspense and dark humor.
  • B. The Green One
    The Green One is an epithet of the ancient Egyptian cobra goddess Wadjet, who served as a protective deity and symbol of royal authority, especially associated with Lower Egypt and the pharaoh.
  • C. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • D. The Green Girl
    The Green Girl is a celebrated late-19th-century portrait painting by American artist John White Alexander, known for its elegant depiction of a woman in flowing green attire and its refined, atmospheric style.
  • E. Edge of Danger
    Edge of Danger is a fast-paced thriller novel by Jack Higgins that follows covert operatives entangled in international intrigue and assassination plots.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122965aa48190bb35202b8dd0fdbd completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.