Triple

T18297327
Position Surface form Disambiguated ID Type / Status
Subject Mark Lowry E438263 entity
Predicate notableWork P4 FINISHED
Object Mark Lowry Goes to Hollywood NE NERFINISHED

How this triple was built (3 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: Mark Lowry Goes to Hollywood | Statement: [Mark Lowry, notableWork, Mark Lowry Goes to Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Lowry Goes to Hollywood
Context triple: [Mark Lowry, notableWork, Mark Lowry Goes to Hollywood]
  • A. Red Country
    Red Country is a gritty fantasy novel by British author Joe Abercrombie, set in his First Law world and blending Western-style themes with dark, character-driven adventure.
  • B. The Fall of the Cowboy
    The Fall of the Cowboy is a late-19th-century painting by American artist Frederic Remington that poignantly depicts the decline of the Old West and the fading era of the cowboy.
  • C. Broken Bow
    "Broken Bow" is the pilot episode of the television series Star Trek: Enterprise, which introduces Captain Jonathan Archer and the early days of Starfleet's exploration.
  • D. The Last Cowboy
    The Last Cowboy is a 2003 made-for-television Western drama film best known for starring Jennie Garth as a woman struggling to save her late grandfather’s ranch.
  • E. The Cowboy’s Lament
    The Cowboy’s Lament is a traditional American cowboy ballad, best known in its variant form as the classic Western song “Streets of Laredo.”
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark Lowry Goes to Hollywood
Target entity description: "Mark Lowry Goes to Hollywood" is a Christian comedy and music video project featuring comedian and singer Mark Lowry in a humorous, variety-show-style format.
  • A. Red Country
    Red Country is a gritty fantasy novel by British author Joe Abercrombie, set in his First Law world and blending Western-style themes with dark, character-driven adventure.
  • B. The Fall of the Cowboy
    The Fall of the Cowboy is a late-19th-century painting by American artist Frederic Remington that poignantly depicts the decline of the Old West and the fading era of the cowboy.
  • C. Broken Bow
    "Broken Bow" is the pilot episode of the television series Star Trek: Enterprise, which introduces Captain Jonathan Archer and the early days of Starfleet's exploration.
  • D. The Last Cowboy
    The Last Cowboy is a 2003 made-for-television Western drama film best known for starring Jennie Garth as a woman struggling to save her late grandfather’s ranch.
  • E. The Cowboy’s Lament
    The Cowboy’s Lament is a traditional American cowboy ballad, best known in its variant form as the classic Western song “Streets of Laredo.”
  • F. None of above. chosen

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017cc540819096c103a2c72315e6 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.