Triple

T17354244
Position Surface form Disambiguated ID Type / Status
Subject Mark Kerr E421892 entity
Predicate subjectOf P38 FINISHED
Object The Smashing Machine 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: The Smashing Machine | Statement: [Mark Kerr, subjectOf, The Smashing Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Smashing Machine
Context triple: [Mark Kerr, subjectOf, The Smashing Machine]
  • A. The Smashing Machine chosen
    The Smashing Machine is a documentary film that chronicles mixed martial artist Mark Kerr’s rise, struggles, and personal battles within the early days of professional MMA.
  • B. Shock Machine
    Shock Machine is the solo musical project of James Righton, blending synth-driven pop and psychedelic influences.
  • C. Killing Machine
    Killing Machine is a film featuring American model and actress Margaux Hemingway in a prominent role.
  • D. Smashing Time
    Smashing Time is a 1967 British satirical comedy film that parodies Swinging London’s fashion and pop culture scene.
  • E. This Machine
    "This Machine" is a 2012 studio album by American alternative rock band The Dandy Warhols, noted for its darker, more stripped-down sound compared to their earlier work.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2f26548190a8822b2470ec3c72 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.