Triple

T20791751
Position Surface form Disambiguated ID Type / Status
Subject Russell Garcia E511794 entity
Predicate workedOn P3 FINISHED
Object Father Brown (1954 film)
Father Brown (1954 film) is a 1954 British mystery-comedy based on G.K. Chesterton’s clerical detective, following the unassuming priest as he uses his keen insight into human nature to solve crimes.
E1451146 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: Father Brown (1954 film) | Statement: [Russell Garcia, workedOn, Father Brown (1954 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Father Brown (1954 film)
Context triple: [Russell Garcia, workedOn, Father Brown (1954 film)]
  • A. The Father Brown stories
    The Father Brown stories are a series of early 20th-century detective tales featuring a shrewd, unassuming Catholic priest who solves mysteries through keen psychological insight and moral understanding.
  • B. Father Brown
    Father Brown is a shrewd, unassuming Catholic priest and amateur detective who solves mysteries through keen psychological insight in G. K. Chesterton’s stories.
  • C. The Hound of the Baskervilles (1959 film)
    The Hound of the Baskervilles (1959 film) is a British gothic mystery adaptation of Arthur Conan Doyle’s Sherlock Holmes novel, produced by Hammer Films and starring Peter Cushing as Holmes and Christopher Lee.
  • D. The Vicar of Bray (1937 film)
    The Vicar of Bray (1937 film) is a British historical comedy-drama set during the turbulent reigns of several English monarchs, following a pragmatic clergyman who repeatedly adapts his loyalties to survive changing political and religious regimes.
  • E. The Hound of the Baskervilles (1939 film)
    The Hound of the Baskervilles (1939 film) is a classic mystery movie adaptation of Arthur Conan Doyle’s Sherlock Holmes story, widely known for starring Basil Rathbone in one of his most iconic portrayals of the famous detective.
  • 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: Father Brown (1954 film)
Triple: [Russell Garcia, workedOn, Father Brown (1954 film)]
Generated description
Father Brown (1954 film) is a 1954 British mystery-comedy based on G.K. Chesterton’s clerical detective, following the unassuming priest as he uses his keen insight into human nature to solve crimes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Father Brown (1954 film)
Target entity description: Father Brown (1954 film) is a 1954 British mystery-comedy based on G.K. Chesterton’s clerical detective, following the unassuming priest as he uses his keen insight into human nature to solve crimes.
  • A. The Father Brown stories
    The Father Brown stories are a series of early 20th-century detective tales featuring a shrewd, unassuming Catholic priest who solves mysteries through keen psychological insight and moral understanding.
  • B. Father Brown
    Father Brown is a shrewd, unassuming Catholic priest and amateur detective who solves mysteries through keen psychological insight in G. K. Chesterton’s stories.
  • C. The Hound of the Baskervilles (1959 film)
    The Hound of the Baskervilles (1959 film) is a British gothic mystery adaptation of Arthur Conan Doyle’s Sherlock Holmes novel, produced by Hammer Films and starring Peter Cushing as Holmes and Christopher Lee.
  • D. The Vicar of Bray (1937 film)
    The Vicar of Bray (1937 film) is a British historical comedy-drama set during the turbulent reigns of several English monarchs, following a pragmatic clergyman who repeatedly adapts his loyalties to survive changing political and religious regimes.
  • E. The Hound of the Baskervilles (1939 film)
    The Hound of the Baskervilles (1939 film) is a classic mystery movie adaptation of Arthur Conan Doyle’s Sherlock Holmes story, widely known for starring Basil Rathbone in one of his most iconic portrayals of the famous detective.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2910d488190bc4be37512effc86 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8bc76508190b65a105fcd4decd1 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9c9314c81909052d1a2e93d740a completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa7040d88190b592d4f46249c2c1 completed May 16, 2026, 11:14 p.m.
Created at: April 16, 2026, 12:38 p.m.