Triple

T3793182
Position Surface form Disambiguated ID Type / Status
Subject Marylou E89705 entity
Predicate appearsIn P795 FINISHED
Object On the Road E11809 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 the Road | Statement: [Marylou, appearsIn, On the Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On the Road
Context triple: [Marylou, appearsIn, On the Road]
  • A. On the Road chosen
    On the Road is Jack Kerouac’s seminal Beat Generation novel that chronicles restless cross-country journeys and helped define postwar American counterculture.
  • B. On the Road
    On the Road is a stand-up comedy album by George Carlin showcasing his sharp observational humor and social commentary.
  • C. One for the Road
    "One for the Road" is a horror short story by Stephen King, often noted as a companion piece to his novel "’Salem’s Lot," involving a terrifying encounter with vampires during a snowstorm in rural Maine.
  • D. One for the Road
    One for the Road is a short, politically charged one-act play by Harold Pinter that explores themes of power, torture, and authoritarian oppression.
  • E. Two for the Road
    Two for the Road is a 1967 British romantic dramedy film that follows a couple’s evolving relationship over 12 years, noted for its non-linear narrative and one of Audrey Hepburn’s most acclaimed later performances.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f058f03881909aded87e7a74849f completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.