Triple

T9327005
Position Surface form Disambiguated ID Type / Status
Subject Eric Blore as Gordon E224413 entity
Predicate portrayedBy P1507 FINISHED
Object Eric Blore E224391 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: Eric Blore | Statement: [Eric Blore as Gordon, portrayedBy, Eric Blore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Blore
Context triple: [Eric Blore as Gordon, portrayedBy, Eric Blore]
  • A. Eric Blore chosen
    Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • B. Jon Cornish
    Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
  • C. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • D. Ed Shearmur
    Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
  • E. Anthony Rogers
    Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37aa78648190b786b50402b15569 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c48be481908b670d1e30a9c7e2 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:39 p.m.