Triple

T14706777
Position Surface form Disambiguated ID Type / Status
Subject Wild Cards E345447 entity
Predicate hasBook P29317 FINISHED
Object Suicide Kings E631457 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: Suicide Kings | Statement: [Wild Cards, hasBook, Suicide Kings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suicide Kings
Context triple: [Wild Cards, hasBook, Suicide Kings]
  • A. Suicide Kings chosen
    Suicide Kings is a 1997 darkly comedic crime thriller film about a group of wealthy young men who kidnap a retired mob boss in a desperate attempt to save a friend.
  • B. Suicide Run
    "Suicide Run" is a collection of crime novellas by Michael Connelly featuring his iconic LAPD detective Harry Bosch.
  • C. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • D. Suicide Guy
    Suicide Guy is a darkly comedic character in George Carlin’s stand-up special "Life Is Worth Losing," used to explore themes of depression, mortality, and the absurdity of suicidal thoughts.
  • E. No Truce with Kings
    "No Truce with Kings" is a science fiction novella by Poul Anderson that explores political conflict and loyalty in a post-apocalyptic, fragmented future America.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6086c608190a66c64e23a3e002f completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08a81948190ab903e5b8bfb0c81 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.