Triple

T12547859
Position Surface form Disambiguated ID Type / Status
Subject Jim Hutton E300018 entity
Predicate starredIn P1668 FINISHED
Object The Honeymoon Machine E169583 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: The Honeymoon Machine | Statement: [Jim Hutton, starredIn, The Honeymoon Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Honeymoon Machine
Context triple: [Jim Hutton, starredIn, The Honeymoon Machine]
  • A. The Honeymoon Machine chosen
    The Honeymoon Machine is a 1961 American comedy film about a Navy officer who uses a military computer to gamble in a Venice casino, leading to a series of farcical mishaps.
  • B. The Honeymoon
    The Honeymoon is a 1917 American silent comedy film directed by Charles Giblyn and starring Constance Talmadge.
  • C. The Honeymoon
    "The Honeymoon" is a novel by Justin Haythe that explores the complexities of love, betrayal, and identity in a richly atmospheric, character-driven narrative.
  • D. Honeymoon Hotel
    "Honeymoon Hotel" is a lively musical number from the 1933 Warner Bros. film *Footlight Parade*, known for its playful pre-Code innuendo and elaborate Busby Berkeley choreography.
  • E. The Love Machine
    The Love Machine is a 1971 American satirical drama film, based on Jacqueline Susann’s novel, about an ambitious and amoral television executive whose ruthless rise in the industry leads to personal and professional ruin.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95481ba28819099f7cd2de02e8837 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655826bbc8190af20858342c008ff completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:58 p.m.