Triple

T5183025
Position Surface form Disambiguated ID Type / Status
Subject Christianna Brand E116964 entity
Predicate notableWork P4 FINISHED
Object Green for Danger 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 | Statement: [Christianna Brand, notableWork, Green for Danger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green for Danger
Context triple: [Christianna Brand, notableWork, Green for Danger]
  • 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. On Dangerous Ground
    On Dangerous Ground is a fast-paced political thriller novel by Jack Higgins involving high-stakes espionage and international intrigue.
  • D. 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.
  • E. Welcome Danger
    Welcome Danger is a 1929 American comedy film starring silent-era icon Harold Lloyd in one of his early sound features.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799d50388190bf2b7dfdd90949e9 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0815d848190bacd5ec6a778d91e completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.