Triple

T10390952
Position Surface form Disambiguated ID Type / Status
Subject Ron’s Gone Wrong E244889 entity
Predicate editedBy P1954 FINISHED
Object Joe Butler
Joe Butler is a film editor best known for his work on the animated feature "Ron’s Gone Wrong."
E858938 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: Joe Butler | Statement: [Ron’s Gone Wrong, editedBy, Joe Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Butler
Context triple: [Ron’s Gone Wrong, editedBy, Joe Butler]
  • A. Bill Butler
    Bill Butler was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s.
  • B. Jeff Butterfield
    Jeff Butterfield is a notable individual recognized for achievements significant enough to be associated with the Butterfield name.
  • C. Steve Butler
    Steve Butler is a fictional character portrayed by Tommy Lee Jones in the film "Heaven & Earth."
  • D. Bobby Butler
    Bobby Butler is a gospel singer best known as a member of the legendary vocal group The Blind Boys of Alabama.
  • E. 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.
  • 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: Joe Butler
Triple: [Ron’s Gone Wrong, editedBy, Joe Butler]
Generated description
Joe Butler is a film editor best known for his work on the animated feature "Ron’s Gone Wrong."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Butler
Target entity description: Joe Butler is a film editor best known for his work on the animated feature "Ron’s Gone Wrong."
  • A. Bill Butler
    Bill Butler was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s.
  • B. Jeff Butterfield
    Jeff Butterfield is a notable individual recognized for achievements significant enough to be associated with the Butterfield name.
  • C. Steve Butler
    Steve Butler is a fictional character portrayed by Tommy Lee Jones in the film "Heaven & Earth."
  • D. Bobby Butler
    Bobby Butler is a gospel singer best known as a member of the legendary vocal group The Blind Boys of Alabama.
  • E. 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.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b4f7d08190bcb16d3b4c8f22ad completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795b9974c819087340adc3622279e completed April 9, 2026, 12:04 p.m.
NEDg Description generation batch_69d7985e7fc081909fd1ba1dc6f7338c completed April 9, 2026, 12:15 p.m.
NED2 Entity disambiguation (via description) batch_69d799917ab881909a947ad8059652c6 completed April 9, 2026, 12:20 p.m.
Created at: April 6, 2026, 12:06 p.m.