Triple

T7706244
Position Surface form Disambiguated ID Type / Status
Subject Moynahan E174623 entity
Predicate hasNotableBearer P458 FINISHED
Object Brian Moynahan
Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
 E683261 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: Brian Moynahan | Statement: [Moynahan, hasNotableBearer, Brian Moynahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brian Moynahan
Context triple: [Moynahan, hasNotableBearer, Brian Moynahan]
  • A. Marty Meehan
    Marty Meehan is an American academic administrator and former U.S. congressman who serves as president of the University of Massachusetts system.
  • B. Michael Hogan
    Michael Hogan was a screenwriter known for his work on classic Hollywood films, including contributing to the script of Alfred Hitchcock’s 1940 adaptation of "Rebecca."
  • C. Pat Crowley
    Pat Crowley is an American actress known for her work in film and television during the 1950s and 1960s, including prominent roles in romantic comedies and dramas.
  • D. Ed Gainey
    Ed Gainey is an American politician who became the first Black mayor of Pittsburgh, Pennsylvania.
  • E. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • 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: Brian Moynahan
Triple: [Moynahan, hasNotableBearer, Brian Moynahan]
Generated description
Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brian Moynahan
Target entity description: Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
  • A. Marty Meehan
    Marty Meehan is an American academic administrator and former U.S. congressman who serves as president of the University of Massachusetts system.
  • B. Michael Hogan
    Michael Hogan was a screenwriter known for his work on classic Hollywood films, including contributing to the script of Alfred Hitchcock’s 1940 adaptation of "Rebecca."
  • C. Pat Crowley
    Pat Crowley is an American actress known for her work in film and television during the 1950s and 1960s, including prominent roles in romantic comedies and dramas.
  • D. Ed Gainey
    Ed Gainey is an American politician who became the first Black mayor of Pittsburgh, Pennsylvania.
  • E. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7028f17f0819081686ac146750d3a completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acc48708819082d58218eb753327 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8ae258a7081909bd30259a368d865 completed March 29, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69c8aebc46e481908872d0c4c77345b5 completed March 29, 2026, 4:46 a.m.
Created at: March 27, 2026, 4:03 p.m.