Triple

T11760074
Position Surface form Disambiguated ID Type / Status
Subject Sullivan & Son E279631 entity
Predicate creator P184 FINISHED
Object Steve Byrne
Steve Byrne is an American stand-up comedian and actor best known for creating and starring in the TBS sitcom "Sullivan & Son."
 E943748 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: Steve Byrne | Statement: [Sullivan & Son, creator, Steve Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steve Byrne
Context triple: [Sullivan & Son, creator, Steve Byrne]
  • A. Peter Byrne
    Peter Byrne was a British actor best known for his long-running role as Andy Crawford in the classic television police series "Dixon of Dock Green."
  • B. Roger Byrne
    Roger Byrne was an English footballer who captained Manchester United's famed "Busby Babes" side in the 1950s.
  • C. Larry Byrne
    Larry Byrne is the husband of American politician Leslie L. Byrne, who served as a U.S. Representative from Virginia.
  • D. Michael Byrne
    Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
  • E. Ted Bessell
    Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
  • 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: Steve Byrne
Triple: [Sullivan & Son, creator, Steve Byrne]
Generated description
Steve Byrne is an American stand-up comedian and actor best known for creating and starring in the TBS sitcom "Sullivan & Son."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steve Byrne
Target entity description: Steve Byrne is an American stand-up comedian and actor best known for creating and starring in the TBS sitcom "Sullivan & Son."
  • A. Peter Byrne
    Peter Byrne was a British actor best known for his long-running role as Andy Crawford in the classic television police series "Dixon of Dock Green."
  • B. Roger Byrne
    Roger Byrne was an English footballer who captained Manchester United's famed "Busby Babes" side in the 1950s.
  • C. Larry Byrne
    Larry Byrne is the husband of American politician Leslie L. Byrne, who served as a U.S. Representative from Virginia.
  • D. Michael Byrne
    Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
  • E. Ted Bessell
    Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a3dfd1081908221c8061931282b completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f03196d1608190999c505e96ce6be7 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05af9ce808190bc6c1ec2cb9903f9 completed April 28, 2026, 7 a.m.
Created at: April 8, 2026, 9:41 p.m.