Triple

T1943639
Position Surface form Disambiguated ID Type / Status
Subject Hugo Award for Best Fan Writer E42011 entity
Predicate notableWinner P2766 FINISHED
Object Mike Glyer
Mike Glyer is a prominent science fiction fan writer, editor, and fan historian best known for his long-running fanzine "File 770" and multiple Hugo Awards.
E251158 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: Mike Glyer | Statement: [Hugo Award for Best Fan Writer, notableWinner, Mike Glyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Glyer
Context triple: [Hugo Award for Best Fan Writer, notableWinner, Mike Glyer]
  • A. Michael Gaeta
    Michael Gaeta is a film producer best known for his work on genre movies, including the 2011 remake of the horror-comedy "Fright Night."
  • B. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • C. Neil Kopp
    Neil Kopp is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
  • D. Mark Okerstrom
    Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia Group.
  • E. Brian Schmetzer
    Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
  • 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: Mike Glyer
Triple: [Hugo Award for Best Fan Writer, notableWinner, Mike Glyer]
Generated description
Mike Glyer is a prominent science fiction fan writer, editor, and fan historian best known for his long-running fanzine "File 770" and multiple Hugo Awards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike Glyer
Target entity description: Mike Glyer is a prominent science fiction fan writer, editor, and fan historian best known for his long-running fanzine "File 770" and multiple Hugo Awards.
  • A. Michael Gaeta
    Michael Gaeta is a film producer best known for his work on genre movies, including the 2011 remake of the horror-comedy "Fright Night."
  • B. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • C. Neil Kopp
    Neil Kopp is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
  • D. Mark Okerstrom
    Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia Group.
  • E. Brian Schmetzer
    Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71a548408190b8c8c97c94336e2d completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae727388f48190bbb516e1cc907689 completed March 9, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae733c44008190ac1429da66cf77aa completed March 9, 2026, 7:14 a.m.
Created at: March 4, 2026, 7:36 p.m.