Triple

T6249576
Position Surface form Disambiguated ID Type / Status
Subject Bride Wars E140012 entity
Predicate producer P490 FINISHED
Object Julie Yorn
Julie Yorn is an American film producer known for her work on a range of Hollywood movies, including comedies and thrillers.
 E585572 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: Julie Yorn | Statement: [Bride Wars, producer, Julie Yorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Julie Yorn
Context triple: [Bride Wars, producer, Julie Yorn]
  • A. Jocelyn Ritchie
    Jocelyn Ritchie is a musician best known for her collaborative work with American rock-rap artist Kid Rock.
  • B. Jeannie Holland
    Jeannie Holland is known as the wife of actor Tom Holland.
  • C. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • D. Tahnee Welch
    Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
  • E. Janine Nielsen
    Janine Nielsen is a central character in the television film "What Makes a Family," which explores themes of LGBTQ+ parenting, family rights, and legal struggles over child custody.
  • 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: Julie Yorn
Triple: [Bride Wars, producer, Julie Yorn]
Generated description
Julie Yorn is an American film producer known for her work on a range of Hollywood movies, including comedies and thrillers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Julie Yorn
Target entity description: Julie Yorn is an American film producer known for her work on a range of Hollywood movies, including comedies and thrillers.
  • A. Jocelyn Ritchie
    Jocelyn Ritchie is a musician best known for her collaborative work with American rock-rap artist Kid Rock.
  • B. Jeannie Holland
    Jeannie Holland is known as the wife of actor Tom Holland.
  • C. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • D. Tahnee Welch
    Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
  • E. Janine Nielsen
    Janine Nielsen is a central character in the television film "What Makes a Family," which explores themes of LGBTQ+ parenting, family rights, and legal struggles over child custody.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603ea4b64819098abfe83fc5003aa completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c60506f7d0819084d5a757cdf395a1 completed March 27, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_69c605d48e848190bf11f3862a12d709 completed March 27, 2026, 4:21 a.m.
Created at: March 22, 2026, 4:24 p.m.