Triple

T2022238
Position Surface form Disambiguated ID Type / Status
Subject 300 E44130 entity
Predicate portrayedBy P1507 FINISHED
Object Gerard Butler E188402 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: Gerard Butler | Statement: [300, portrayedBy, Gerard Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerard Butler
Context triple: [300, portrayedBy, Gerard Butler]
  • A. Gerard Butler chosen
    Gerard Butler is a Scottish actor and film producer best known for his leading roles in action and drama films such as "300," "Olympus Has Fallen," and "The Phantom of the Opera."
  • B. Justin Chadwick
    Justin Chadwick is a British film and television director known for works such as "Mandela: Long Walk to Freedom" and "The Other Boleyn Girl."
  • C. Richard Madden
    Richard Madden is a Scottish actor best known for his role as Robb Stark in the television series "Game of Thrones" and for starring in various high-profile film and TV productions.
  • D. Jack Davenport
    Jack Davenport is a British actor best known for his roles in the television series "Coupling" and the "Pirates of the Caribbean" film franchise.
  • E. Michael Fassbender
    Michael Fassbender is an acclaimed Irish-German actor known for his intense, versatile performances in films such as "Hunger," "Shame," "12 Years a Slave," and the "X-Men" series.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8efbe148190901d3650aa60408a completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af7e5b0819088e2221ddc0a38ce completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.