Triple

T5590955
Position Surface form Disambiguated ID Type / Status
Subject The Thin Man E146874 entity
Predicate castMember P1668 FINISHED
Object Edward Brophy
Edward Brophy was an American character actor and comedian known for his distinctive raspy voice and frequent appearances in 1930s and 1940s Hollywood films.
 E563265 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: Edward Brophy | Statement: [The Thin Man, castMember, Edward Brophy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edward Brophy
Context triple: [The Thin Man, castMember, Edward Brophy]
  • A. John Brophy
    John Brophy was an influential American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
  • B. Joseph McHardy
    Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • E. Edward Allen Brotherton
    Edward Allen Brotherton was a British industrialist and philanthropist whose contributions to education led to major benefactions such as the library that bears his name at the University of Leeds.
  • 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: Edward Brophy
Triple: [The Thin Man, castMember, Edward Brophy]
Generated description
Edward Brophy was an American character actor and comedian known for his distinctive raspy voice and frequent appearances in 1930s and 1940s Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edward Brophy
Target entity description: Edward Brophy was an American character actor and comedian known for his distinctive raspy voice and frequent appearances in 1930s and 1940s Hollywood films.
  • A. John Brophy
    John Brophy was an influential American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
  • B. Joseph McHardy
    Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • E. Edward Allen Brotherton
    Edward Allen Brotherton was a British industrialist and philanthropist whose contributions to education led to major benefactions such as the library that bears his name at the University of Leeds.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a1d4cc8190a52264dfba6aa011 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11335c29c8190b8b99acee7214f6f completed March 23, 2026, 10:17 a.m.
NEDg Description generation batch_69c113c9bc048190ab517300d56dd8e0 completed March 23, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69c1144e77f881908ab59a67160c1630 completed March 23, 2026, 10:22 a.m.
Created at: March 22, 2026, 3:38 p.m.