Triple

T11121263
Position Surface form Disambiguated ID Type / Status
Subject Larry Anderson E263020 entity
Predicate portrayed P1668 FINISHED
Object Ted McGibbon
Ted McGibbon is a fictional character portrayed by actor Larry Anderson, likely appearing in a television series or film.
 E918500 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: Ted McGibbon | Statement: [Larry Anderson, portrayed, Ted McGibbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted McGibbon
Context triple: [Larry Anderson, portrayed, Ted McGibbon]
  • A. Ed McHugh
    Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
  • B. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • C. Bill McGowan
    Bill McGowan was a prominent American Major League Baseball umpire renowned for his long career, authoritative style, and induction into the Baseball Hall of Fame.
  • D. Ray McKinnon
    Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
  • E. Jack McGowan
    Jack McGowan was a screenwriter known for his work on classic Hollywood films, including the 1939 musical "Babes in Arms."
  • 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: Ted McGibbon
Triple: [Larry Anderson, portrayed, Ted McGibbon]
Generated description
Ted McGibbon is a fictional character portrayed by actor Larry Anderson, likely appearing in a television series or film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted McGibbon
Target entity description: Ted McGibbon is a fictional character portrayed by actor Larry Anderson, likely appearing in a television series or film.
  • A. Ed McHugh
    Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
  • B. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • C. Bill McGowan
    Bill McGowan was a prominent American Major League Baseball umpire renowned for his long career, authoritative style, and induction into the Baseball Hall of Fame.
  • D. Ray McKinnon
    Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
  • E. Jack McGowan
    Jack McGowan was a screenwriter known for his work on classic Hollywood films, including the 1939 musical "Babes in Arms."
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af911b881908168f23a4918231c completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5254907348190a9652395f15b2044 completed April 19, 2026, 6:56 p.m.
NEDg Description generation batch_69e52c81449c8190847b64fa91a45b2e completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e5319b6ef0819096debabfb6ffbe70 completed April 19, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:28 p.m.