Triple

T13238534
Position Surface form Disambiguated ID Type / Status
Subject Romeo Is Bleeding E315217 entity
Predicate producer P490 FINISHED
Object Brad Wyman
Brad Wyman is a film producer best known for his work on independent movies such as "Monster" and other genre-driven projects.
E1056828 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: Brad Wyman | Statement: [Romeo Is Bleeding, producer, Brad Wyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brad Wyman
Context triple: [Romeo Is Bleeding, producer, Brad Wyman]
  • A. Stephen Wyman
    Stephen Wyman is the son of Bill Wyman, the former bassist of the Rolling Stones.
  • B. Marc Wydell
    Marc Wydell is a central character in the animated film "Ron's Gone Wrong," depicted as a socially awkward middle-schooler whose malfunctioning robot friend helps him navigate friendship and growing up in a hyper-connected digital world.
  • C. Joe Wredden
    Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
  • D. Cole Palen
    Cole Palen was an American aviation enthusiast and collector best known for creating and operating the Old Rhinebeck Aerodrome, a living museum of vintage aircraft and early aviation history.
  • E. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • 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: Brad Wyman
Triple: [Romeo Is Bleeding, producer, Brad Wyman]
Generated description
Brad Wyman is a film producer best known for his work on independent movies such as "Monster" and other genre-driven projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brad Wyman
Target entity description: Brad Wyman is a film producer best known for his work on independent movies such as "Monster" and other genre-driven projects.
  • A. Stephen Wyman
    Stephen Wyman is the son of Bill Wyman, the former bassist of the Rolling Stones.
  • B. Marc Wydell
    Marc Wydell is a central character in the animated film "Ron's Gone Wrong," depicted as a socially awkward middle-schooler whose malfunctioning robot friend helps him navigate friendship and growing up in a hyper-connected digital world.
  • C. Joe Wredden
    Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
  • D. Cole Palen
    Cole Palen was an American aviation enthusiast and collector best known for creating and operating the Old Rhinebeck Aerodrome, a living museum of vintage aircraft and early aviation history.
  • E. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3398b08190a0fc4b6044576e0a completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:23 p.m.