Triple

T11121297
Position Surface form Disambiguated ID Type / Status
Subject Philip J. Amelio II E263021 entity
Predicate portrayed P1668 FINISHED
Object Kevin McGibbon
Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
 E918501 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: Kevin McGibbon | Statement: [Philip J. Amelio II, portrayed, Kevin McGibbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kevin McGibbon
Context triple: [Philip J. Amelio II, portrayed, Kevin McGibbon]
  • A. John McMullen
    John McMullen was a 19th-century Catholic bishop and civic leader known for his role in establishing educational and religious institutions in the American Midwest.
  • B. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • C. Neil Welliver
    Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • D. Michael Daley
    Michael Daley is an Australian Labor Party politician who has served in senior roles in New South Wales state politics, including as a cabinet minister and former Opposition Leader.
  • E. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • 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: Kevin McGibbon
Triple: [Philip J. Amelio II, portrayed, Kevin McGibbon]
Generated description
Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kevin McGibbon
Target entity description: Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
  • A. John McMullen
    John McMullen was a 19th-century Catholic bishop and civic leader known for his role in establishing educational and religious institutions in the American Midwest.
  • B. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • C. Neil Welliver
    Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • D. Michael Daley
    Michael Daley is an Australian Labor Party politician who has served in senior roles in New South Wales state politics, including as a cabinet minister and former Opposition Leader.
  • E. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • 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.