Triple

T21040401
Position Surface form Disambiguated ID Type / Status
Subject Reg Varney E518304 entity
Predicate portrayed P1668 FINISHED
Object Stan Butler
Stan Butler is the cheeky, womanizing London bus driver who serves as the central character in the British sitcom "On the Buses."
 E1463128 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: Stan Butler | Statement: [Reg Varney, portrayed, Stan Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stan Butler
Context triple: [Reg Varney, portrayed, Stan Butler]
  • A. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • B. Larry Butler
    Larry Butler was an American country music producer and songwriter best known for his influential work with artists like Kenny Rogers.
  • C. Hal Buckley
    Hal Buckley was an actor known for his role in the World War II comedy film "Kelly's Heroes."
  • D. Frank Butler
    Frank Butler was an American screenwriter and actor best known for his work on classic Hollywood films, including co-writing the Oscar-winning screenplay for "Going My Way."
  • E. Frank Butler
    Frank Butler is the charming sharpshooter and romantic lead opposite Annie Oakley in the musical film "Annie Get Your Gun."
  • 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: Stan Butler
Triple: [Reg Varney, portrayed, Stan Butler]
Generated description
Stan Butler is the cheeky, womanizing London bus driver who serves as the central character in the British sitcom "On the Buses."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stan Butler
Target entity description: Stan Butler is the cheeky, womanizing London bus driver who serves as the central character in the British sitcom "On the Buses."
  • A. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • B. Larry Butler
    Larry Butler was an American country music producer and songwriter best known for his influential work with artists like Kenny Rogers.
  • C. Hal Buckley
    Hal Buckley was an actor known for his role in the World War II comedy film "Kelly's Heroes."
  • D. Frank Butler
    Frank Butler was an American screenwriter and actor best known for his work on classic Hollywood films, including co-writing the Oscar-winning screenplay for "Going My Way."
  • E. Frank Butler
    Frank Butler is the charming sharpshooter and romantic lead opposite Annie Oakley in the musical film "Annie Get Your Gun."
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fceed9148190903adb3b55f65242 completed April 21, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094750de6081908ab711d77777be6c completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a09480efc2c819085f4c0fdb2c3533b completed May 17, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0948daf03881908b080ed95acdeed0 completed May 17, 2026, 4:49 a.m.
Created at: April 16, 2026, 2:15 p.m.