Triple

T21134474
Position Surface form Disambiguated ID Type / Status
Subject Mr. Blue E520778 entity
Predicate aliasOf P39 FINISHED
Object Bernard Ryder
Bernard Ryder is the real name of the fictional character known as Mr. Blue.
 E1468387 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: Bernard Ryder | Statement: [Mr. Blue, aliasOf, Bernard Ryder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernard Ryder
Context triple: [Mr. Blue, aliasOf, Bernard Ryder]
  • A. Bernard Gourley
    Bernard Gourley is a music video director best known for helming high-profile videos in hip-hop and pop, including M.I.A.’s hit “Paper Planes.”
  • B. Bernard Fowler
    Bernard Fowler is an American singer, songwriter, and producer best known for his longtime work as a backing vocalist for The Rolling Stones and numerous other rock and funk artists.
  • C. Bernard Austin
    Bernard Austin was a United States Navy officer best known for commanding American forces during the World War II Battle of Cape St. George.
  • D. Bernard Porter
    Bernard Porter is a British historian known for his influential work on the history of the British Empire, imperialism, and British national identity.
  • E. Sidney Lanfield
    Sidney Lanfield was an American film and television director best known for his work on Hollywood comedies and genre films from the 1930s through the 1950s.
  • 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: Bernard Ryder
Triple: [Mr. Blue, aliasOf, Bernard Ryder]
Generated description
Bernard Ryder is the real name of the fictional character known as Mr. Blue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bernard Ryder
Target entity description: Bernard Ryder is the real name of the fictional character known as Mr. Blue.
  • A. Bernard Gourley
    Bernard Gourley is a music video director best known for helming high-profile videos in hip-hop and pop, including M.I.A.’s hit “Paper Planes.”
  • B. Bernard Fowler
    Bernard Fowler is an American singer, songwriter, and producer best known for his longtime work as a backing vocalist for The Rolling Stones and numerous other rock and funk artists.
  • C. Bernard Austin
    Bernard Austin was a United States Navy officer best known for commanding American forces during the World War II Battle of Cape St. George.
  • D. Bernard Porter
    Bernard Porter is a British historian known for his influential work on the history of the British Empire, imperialism, and British national identity.
  • E. Sidney Lanfield
    Sidney Lanfield was an American film and television director best known for his work on Hollywood comedies and genre films from the 1930s through the 1950s.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723592fd48190ba5977a1b229d51e completed April 21, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965f1fb2c8190b66ee5e64cc98aa4 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966f894d48190b6841c35a9aab417 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a096adfd4248190a26c513278e7b334 completed May 17, 2026, 7:14 a.m.
Created at: April 16, 2026, 2:56 p.m.