Triple

T5358853
Position Surface form Disambiguated ID Type / Status
Subject Finding Neverland E102770 entity
Predicate filmEditor P14416 FINISHED
Object Matt Chesse E224800 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: Matt Chesse | Statement: [Finding Neverland, filmEditor, Matt Chesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Chesse
Context triple: [Finding Neverland, filmEditor, Matt Chesse]
  • A. Matt Chesse chosen
    Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
  • B. Matthew Mottola
    Matthew Mottola is the son of music executive Tommy Mottola.
  • C. Matt Hauser
    Matt Hauser is a composer and musician known for creating the score for the documentary film "Enron: The Smartest Guys in the Room."
  • D. Chris Chasse
    Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
  • E. Chris Dabaldo
    Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
  • 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: filmEditor
Context triple: [Finding Neverland, filmEditor, Matt Chesse]
  • A. editedFilm chosen
    Indicates that one entity performed the film editing work on another entity, which is a film.
  • B. filmEditingAcademyAward
    Indicates that an entity received or is associated with an Academy Award specifically for film editing.
  • C. filmSetting
    Indicates the place, time, or environment in which the events of a film are set or take place.
  • D. videoModulation
    Indicates a relationship where one entity alters or controls the characteristics of a video signal or stream, such as its amplitude, frequency, or encoding parameters.
  • E. filmMovement
    Indicates the cinematic movement or stylistic school with which a film is associated.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8631ca2c8190856258bf340f6e5d completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf333e785c819092afe751934662f0 completed March 22, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69bd845f41f88190b75b8b64b9e41862 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:02 p.m.