Triple

T20396830
Position Surface form Disambiguated ID Type / Status
Subject White Zombie E500227 entity
Predicate editedBy P1954 FINISHED
Object Ernest Miller NE NERFINISHED

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: Ernest Miller | Statement: [White Zombie, editedBy, Ernest Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Miller
Context triple: [White Zombie, editedBy, Ernest Miller]
  • A. Ernest Miller chosen
    Ernest Miller was an American cinematographer known for his work on numerous Western films and serials during the early to mid-20th century.
  • B. George Merrill
    George Merrill is an American songwriter best known for co-writing Whitney Houston’s hit songs “How Will I Know” and “I Wanna Dance with Somebody (Who Loves Me).”
  • C. George Merrill
    George Merrill is a British singer best known as one half of the pop duo Boy Meets Girl, who had the 1988 hit single "Waiting for a Star to Fall."
  • D. Arthur Heber Browne
    Arthur Heber Browne was an Anglican clergyman who served as a bishop, notably in the early 20th century.
  • E. Philip Leslie Hale
    Philip Leslie Hale was an American Impressionist painter and influential art teacher associated with the Boston School, known for his luminous landscapes and figure paintings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798b6640819085d5b12dc35633fe completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:28 a.m.