Triple

T8705570
Position Surface form Disambiguated ID Type / Status
Subject Journey Planet E206639 entity
Predicate editor P1954 FINISHED
Object Michael Carroll
Michael Carroll is a science fiction fan and writer best known for his work as a co-editor of the fanzine Journey Planet.
 E763956 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: Michael Carroll | Statement: [Journey Planet, editor, Michael Carroll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Carroll
Context triple: [Journey Planet, editor, Michael Carroll]
  • A. Patrick Carroll
    Patrick Carroll is a relative of the renowned English actress Madeleine Carroll, known for her roles in classic films such as Alfred Hitchcock’s "The 39 Steps."
  • B. Ed Scott
    Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
  • C. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • D. Kevin Vance
    Kevin Vance is an American actor known for supporting roles in action and thriller films, including the 2014 movie "Sabotage."
  • E. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • 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: Michael Carroll
Triple: [Journey Planet, editor, Michael Carroll]
Generated description
Michael Carroll is a science fiction fan and writer best known for his work as a co-editor of the fanzine Journey Planet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Carroll
Target entity description: Michael Carroll is a science fiction fan and writer best known for his work as a co-editor of the fanzine Journey Planet.
  • A. Patrick Carroll
    Patrick Carroll is a relative of the renowned English actress Madeleine Carroll, known for her roles in classic films such as Alfred Hitchcock’s "The 39 Steps."
  • B. Ed Scott
    Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
  • C. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • D. Kevin Vance
    Kevin Vance is an American actor known for supporting roles in action and thriller films, including the 2014 movie "Sabotage."
  • E. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fcac748190a82b57aeb7c43df9 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab417d4481908cc6305ec2752078 completed April 3, 2026, 11:57 a.m.
NEDg Description generation batch_69cfac76d0f8819090c2bff520db52f4 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad04e514819084bf30b8f026c031 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 6:34 p.m.