Triple

T6530288
Position Surface form Disambiguated ID Type / Status
Subject The Call (2013 film) E152212 entity
Predicate michaelFosterPortrayedBy P1507 FINISHED
Object Michael Eklund E605169 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: Michael Eklund | Statement: [The Call (2013 film), michaelFosterPortrayedBy, Michael Eklund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Eklund
Context triple: [The Call (2013 film), michaelFosterPortrayedBy, Michael Eklund]
  • A. Michael Eklund chosen
    Michael Eklund is a Canadian character actor known for his intense, often villainous roles in film and television thrillers.
  • B. Greg Eklund
    Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
  • C. Jeffrey Nordling
    Jeffrey Nordling is an American actor known for his work in television dramas and films, often portraying complex professional and family-man characters.
  • D. Daniel Nannskog
    Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
  • E. Jon Ekstrand
    Jon Ekstrand is a Swedish film composer and sound designer known for his atmospheric scores for documentaries and feature films, including collaborations with director Daniel Espinosa.
  • 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: michaelFosterPortrayedBy
Context triple: [The Call (2013 film), michaelFosterPortrayedBy, Michael Eklund]
  • A. portrayedBy chosen
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • B. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • C. supportingCharacterPortrayedBy
    Indicates that a supporting (non-leading) character in a work is portrayed or acted by a specific performer.
  • D. portrayedBySpouseOf
    Indicates that something is portrayed or depicted by the spouse of a given entity.
  • E. accusedCharacterPortrayedBy
    Indicates that a particular actor or performer plays the role of the character who is accused within a given work.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adac53b0819097fece48a75cc48f completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41908f0819096e6e432509afe7d completed March 27, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69c68abd9c7c819099e4fe8097cd1b28 completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:46 p.m.