Triple

T5359298
Position Surface form Disambiguated ID Type / Status
Subject Gellert Grindelwald E102778 entity
Predicate portrayedBy P1507 FINISHED
Object Michael Byrne E396603 NE FINISHED

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: Michael Byrne | Statement: [Gellert Grindelwald, portrayedBy, Michael Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Byrne
Context triple: [Gellert Grindelwald, portrayedBy, Michael Byrne]
  • A. Michael Byrne chosen
    Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
  • B. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • C. Michael Barrett
    Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
  • D. Ian Brennan
    Ian Brennan is an American television writer, director, and producer best known for co-creating the musical comedy-drama series "Glee."
  • E. Michael Whelan
    Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9f5885388190bf06b919425a81fe completed March 22, 2026, 7:50 a.m.
Created at: March 20, 2026, 2:02 p.m.