Triple

T15368313
Position Surface form Disambiguated ID Type / Status
Subject Catch .44 E367472 entity
Predicate editedBy P1954 FINISHED
Object Richard Byard
Richard Byard is a film editor known for his work on the crime thriller movie "Catch .44."
 E1164143 NE FINISHED

How this triple was built (4 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: Richard Byard | Statement: [Catch .44, editedBy, Richard Byard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Byard
Context triple: [Catch .44, editedBy, Richard Byard]
  • A. Richard Seaton
    Richard Seaton is the brilliant scientist-hero of E.E. "Doc" Smith's Skylark space opera series, known for pioneering interstellar travel and battling cosmic threats.
  • B. Richard Mason
    Richard Mason is a character in Charlotte Brontë’s novel "Jane Eyre," known primarily as the brother of Bertha Mason whose unexpected arrival at Thornfield Hall exposes Mr. Rochester’s secret.
  • C. Richard Mason
    Richard Mason was a British novelist best known for his 1957 romantic novel "The World of Suzie Wong," which became an international bestseller and inspired film and stage adaptations.
  • D. Richard Fenton
    Richard Fenton is the murderous stalker and primary villain in the 2008 horror film "Prom Night."
  • E. Richard Usborne
    Richard Usborne was a British literary critic and scholar best known for his authoritative studies and editorial work on the writings of P. G. Wodehouse.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Richard Byard
Triple: [Catch .44, editedBy, Richard Byard]
Generated description
Richard Byard is a film editor known for his work on the crime thriller movie "Catch .44."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Byard
Target entity description: Richard Byard is a film editor known for his work on the crime thriller movie "Catch .44."
  • A. Richard Seaton
    Richard Seaton is the brilliant scientist-hero of E.E. "Doc" Smith's Skylark space opera series, known for pioneering interstellar travel and battling cosmic threats.
  • B. Richard Mason
    Richard Mason is a character in Charlotte Brontë’s novel "Jane Eyre," known primarily as the brother of Bertha Mason whose unexpected arrival at Thornfield Hall exposes Mr. Rochester’s secret.
  • C. Richard Mason
    Richard Mason was a British novelist best known for his 1957 romantic novel "The World of Suzie Wong," which became an international bestseller and inspired film and stage adaptations.
  • D. Richard Fenton
    Richard Fenton is the murderous stalker and primary villain in the 2008 horror film "Prom Night."
  • E. Richard Usborne
    Richard Usborne was a British literary critic and scholar best known for his authoritative studies and editorial work on the writings of P. G. Wodehouse.
  • F. None of above. chosen

Provenance (5 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4544d5008190ba479a6c56cedc20 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff49722d88819082863f8eef778dac completed May 9, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff49f6db508190b0127a59d332512e completed May 9, 2026, 2:51 p.m.
Created at: April 10, 2026, 3:18 a.m.