Triple

T4337333
Position Surface form Disambiguated ID Type / Status
Subject Stagecoach E97495 entity
Predicate musicBy P1952 FINISHED
Object Richard Hageman
Richard Hageman was a Dutch-born American composer and conductor best known for his film scores, including his Academy Award-winning work on classic Hollywood Westerns.
 E449445 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 Hageman | Statement: [Stagecoach, musicBy, Richard Hageman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Hageman
Context triple: [Stagecoach, musicBy, Richard Hageman]
  • A. Daniel P. Hanley
    Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
  • B. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • C. George Hildebrand
    George Hildebrand was an American Major League Baseball umpire active in the early 20th century.
  • D. Thomas F. Hofmann
    Thomas F. Hofmann is a German food chemist and academic leader who serves as president of the Technical University of Munich.
  • E. Richard T. Wetherald
    Richard T. Wetherald was an atmospheric scientist known for his pioneering work with Syukuro Manabe on early climate modeling and the greenhouse effect.
  • 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 Hageman
Triple: [Stagecoach, musicBy, Richard Hageman]
Generated description
Richard Hageman was a Dutch-born American composer and conductor best known for his film scores, including his Academy Award-winning work on classic Hollywood Westerns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Hageman
Target entity description: Richard Hageman was a Dutch-born American composer and conductor best known for his film scores, including his Academy Award-winning work on classic Hollywood Westerns.
  • A. Daniel P. Hanley
    Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
  • B. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • C. George Hildebrand
    George Hildebrand was an American Major League Baseball umpire active in the early 20th century.
  • D. Thomas F. Hofmann
    Thomas F. Hofmann is a German food chemist and academic leader who serves as president of the Technical University of Munich.
  • E. Richard T. Wetherald
    Richard T. Wetherald was an atmospheric scientist known for his pioneering work with Syukuro Manabe on early climate modeling and the greenhouse effect.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516c621881909f094d040d4805e9 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4073aa88190ba64691b93aab900 completed March 20, 2026, 7:46 p.m.
NEDg Description generation batch_69bda586202c8190960d36bdaa1284a7 completed March 20, 2026, 7:52 p.m.
NED2 Entity disambiguation (via description) batch_69bda5dd44388190861ddf5f689b739c completed March 20, 2026, 7:54 p.m.
Created at: March 12, 2026, 11:14 p.m.