Triple

T16780755
Position Surface form Disambiguated ID Type / Status
Subject Wonder Woman film series E407850 entity
Predicate cinematographerOfEntry P90619 FINISHED
Object Matthew Jensen 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: Matthew Jensen | Statement: [Wonder Woman film series, cinematographerOfEntry, Matthew Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Jensen
Context triple: [Wonder Woman film series, cinematographerOfEntry, Matthew Jensen]
  • A. Matthew Jensen chosen
    Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
  • B. Todd Jensen
    Todd Jensen is a musician best known as a member of the American hard rock band Hardline.
  • C. David Jensen
    David Jensen is a musician known for his work with the soft rock/R&B-influenced indie supergroup Gayngs.
  • D. John Luessenhop
    John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
  • E. Eric Mabius
    Eric Mabius is an American actor best known for his role as Daniel Meade on the television series "Ugly Betty" and for appearances in films such as "Cruel Intentions" and "Resident Evil."
  • 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: cinematographerOfEntry
Context triple: [Wonder Woman film series, cinematographerOfEntry, Matthew Jensen]
  • A. cinematographerOfWork chosen
    Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
  • B. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • C. cinematographyAwardNominee
    Indicates that an entity was nominated to receive an award specifically recognizing excellence in cinematography.
  • D. cinematographyAwardedTo
    Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
  • E. notableCinematographer
    Indicates that the subject is a cinematographer who is particularly distinguished or well-known for their work.
  • F. None of above.

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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b214cebc81909de80e74b4bac5f8 completed April 18, 2026, 4:32 p.m.
PD Predicate disambiguation batch_69e319cf691c819083e39225f5777ef0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:22 a.m.