Triple

T5188299
Position Surface form Disambiguated ID Type / Status
Subject Blue Thunder E117085 entity
Predicate producer P490 FINISHED
Object Andrew Fogelson
Andrew Fogelson is a film producer best known for his work on the 1983 action thriller "Blue Thunder."
 E502130 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: Andrew Fogelson | Statement: [Blue Thunder, producer, Andrew Fogelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrew Fogelson
Context triple: [Blue Thunder, producer, Andrew Fogelson]
  • A. Nick Frenkel
    Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
  • B. Jeremy Furstenfeld
    Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
  • C. Tully Friedman
    Tully Friedman is an American financier and private equity investor best known as the co-founder of the investment firm Hellman & Friedman.
  • D. Michael Gelman
    Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
  • E. Greg Grunberg
    Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
  • 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: Andrew Fogelson
Triple: [Blue Thunder, producer, Andrew Fogelson]
Generated description
Andrew Fogelson is a film producer best known for his work on the 1983 action thriller "Blue Thunder."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrew Fogelson
Target entity description: Andrew Fogelson is a film producer best known for his work on the 1983 action thriller "Blue Thunder."
  • A. Nick Frenkel
    Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
  • B. Jeremy Furstenfeld
    Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
  • C. Tully Friedman
    Tully Friedman is an American financier and private equity investor best known as the co-founder of the investment firm Hellman & Friedman.
  • D. Michael Gelman
    Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
  • E. Greg Grunberg
    Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c56280819085926316f7b520bc completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08af954819080dbe7ea1ac6ddb0 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee5fc0c408190b4ad4b77e0045182 completed March 21, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69bee6b954c08190a353ebcfe829888a completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.