Triple

T23056516
Position Surface form Disambiguated ID Type / Status
Subject Robbie Brenner E574168 entity
Predicate workOn P30363 FINISHED
Object Machine Gun Preacher NE NERFINISHED

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: Machine Gun Preacher | Statement: [Robbie Brenner, workOn, Machine Gun Preacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machine Gun Preacher
Context triple: [Robbie Brenner, workOn, Machine Gun Preacher]
  • A. Machine Gun Preacher chosen
    Machine Gun Preacher is a 2011 biographical action drama film about former gang biker Sam Childers’ transformation into a missionary who rescues children in war-torn Sudan.
  • B. Righteous Kill
    Righteous Kill is a 2008 crime thriller film best known for pairing Robert De Niro and Al Pacino as veteran New York City detectives hunting a possible serial killer.
  • C. The Gunman
    The Gunman is an action thriller film best known for its intense gunplay and the involvement of prominent actors such as Ray Winstone.
  • D. Drivin' Thunder
    Drivin' Thunder is a track from the rock band American Dream, known for its energetic, guitar-driven sound.
  • E. Wild Gunman
    Wild Gunman is a Western-themed light gun shooting video game by Nintendo, best known for its quick-draw duels and use of the NES Zapper accessory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1868099708190b23725dc8a305e09 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.