Triple

T5265819
Position Surface form Disambiguated ID Type / Status
Subject Journey into Light E118935 entity
Predicate screenwriter P2831 FINISHED
Object Hugh Butler
Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
 E507432 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: Hugh Butler | Statement: [Journey into Light, screenwriter, Hugh Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hugh Butler
Context triple: [Journey into Light, screenwriter, Hugh Butler]
  • A. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • B. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • C. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • D. George Bowers
    George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
  • E. David Buttolph
    David Buttolph was an American film composer and arranger known for scoring numerous Hollywood movies 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: Hugh Butler
Triple: [Journey into Light, screenwriter, Hugh Butler]
Generated description
Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hugh Butler
Target entity description: Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • A. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • B. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • C. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • D. George Bowers
    George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
  • E. David Buttolph
    David Buttolph was an American film composer and arranger known for scoring numerous Hollywood movies 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bf89ae481908835b711fb2696fd completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8b787881909be9c01d1ba52561 completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff76290c819099a08cd1d5397004 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.