Triple

T9148536
Position Surface form Disambiguated ID Type / Status
Subject Roger Livesey E219522 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: [Roger Livesey, notableWork, Green for Danger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green for Danger
Context triple: [Roger Livesey, 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. On Dangerous Ground
    On Dangerous Ground is a 1952 American film noir crime drama directed by Nicholas Ray, known for its dark psychological themes and stark visual style.
  • E. Another Green World
    Another Green World is a 1975 album by Brian Eno that blends art rock with pioneering ambient textures and experimental production.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91a1fd08190a5bb3d9280439b09 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04833858081909b616325f0e6f787 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.