Triple

T8788132
Position Surface form Disambiguated ID Type / Status
Subject A. I. Bezzerides E209092 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object On Dangerous Ground E756968 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: On Dangerous Ground | Statement: [A. I. Bezzerides, wroteScreenplayFor, On Dangerous Ground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On Dangerous Ground
Context triple: [A. I. Bezzerides, wroteScreenplayFor, On Dangerous Ground]
  • A. On Dangerous Ground
    On Dangerous Ground is a fast-paced political thriller novel by Jack Higgins involving high-stakes espionage and international intrigue.
  • B. On Dangerous Ground chosen
    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.
  • C. On Deadly Ground
    On Deadly Ground is a 1994 action film directed by and starring Steven Seagal, centered on an environmentalist oil-rig firefighter battling corporate corruption in Alaska.
  • 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. Green for Danger
    Green for Danger is a 1946 British mystery film set in a wartime hospital, renowned for its blend of whodunit suspense and dark humor.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f493f648190b0e9392f1abb44a1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.