Triple

T8243889
Position Surface form Disambiguated ID Type / Status
Subject Trucks E192801 entity
Predicate screenAdaptationTitle P28332 FINISHED
Object Maximum Overdrive E192813 NE FINISHED

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: Maximum Overdrive | Statement: [Trucks, screenAdaptationTitle, Maximum Overdrive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maximum Overdrive
Context triple: [Trucks, screenAdaptationTitle, Maximum Overdrive]
  • A. Maximum Overdrive chosen
    Maximum Overdrive is a 1986 horror-comedy film written and directed by Stephen King, in which machines suddenly become homicidal and terrorize a group of people trapped at a truck stop.
  • B. Overload
    "Overload" is a song by the Christian rock band Darkness and Light, likely featuring their characteristic blend of heavy guitar-driven sound and spiritually themed lyrics.
  • C. Overload
    "Overload" is a song featured on the album "All I Want Is You."
  • D. Overdrive
    Overdrive is an action-packed heist film centered on high-end car thieves, starring Scott Eastwood.
  • E. Full Throttle
    Full Throttle is a horror and dark fantasy short story collection by Joe Hill that showcases his signature blend of suspenseful, character-driven tales.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenAdaptationTitle
Context triple: [Trucks, screenAdaptationTitle, Maximum Overdrive]
  • A. screenAdaptationOfGenre
    Indicates that a screen production (such as a film or TV show) is an adaptation of a work belonging to a specified genre.
  • B. textTitle
    Indicates that one text entity serves as the title or heading for another text or resource.
  • C. usesTitle
    Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
  • D. containsTitle
    Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
  • E. titleVariant chosen
    Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
  • F. None of above.

Provenance (4 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd680b0f608190b69336228346b47d completed April 1, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69cb36b437e881909958591357e83b9d completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:47 p.m.