Triple

T13594855
Position Surface form Disambiguated ID Type / Status
Subject Bud Fox E324790 entity
Predicate romanticPartner P9994 FINISHED
Object Darien Taylor
Darien Taylor is a fictional character from the film "Wall Street," portrayed as an ambitious interior designer romantically involved with stockbroker Bud Fox.
E1049906 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: Darien Taylor | Statement: [Bud Fox, romanticPartner, Darien Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darien Taylor
Context triple: [Bud Fox, romanticPartner, Darien Taylor]
  • A. Cheryl Duffield
    Cheryl Duffield is known as the wife of American billionaire software entrepreneur and philanthropist David Duffield.
  • B. Sherry Jackson
    Sherry Jackson is an American actress best known for her work as a child and young adult performer in 1950s and 1960s film and television.
  • C. Darcy Scott
    Darcy Scott is a lively, music-obsessed protagonist whose passion for dancing shapes much of her personality and story.
  • D. Tracy Harris
    Tracy Harris is an American artist known for her abstract and minimalist paintings and for her marriage to light artist Dan Flavin.
  • E. Rachel McCleary
    Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
  • 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: Darien Taylor
Triple: [Bud Fox, romanticPartner, Darien Taylor]
Generated description
Darien Taylor is a fictional character from the film "Wall Street," portrayed as an ambitious interior designer romantically involved with stockbroker Bud Fox.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darien Taylor
Target entity description: Darien Taylor is a fictional character from the film "Wall Street," portrayed as an ambitious interior designer romantically involved with stockbroker Bud Fox.
  • A. Cheryl Duffield
    Cheryl Duffield is known as the wife of American billionaire software entrepreneur and philanthropist David Duffield.
  • B. Sherry Jackson
    Sherry Jackson is an American actress best known for her work as a child and young adult performer in 1950s and 1960s film and television.
  • C. Darcy Scott
    Darcy Scott is a lively, music-obsessed protagonist whose passion for dancing shapes much of her personality and story.
  • D. Tracy Harris
    Tracy Harris is an American artist known for her abstract and minimalist paintings and for her marriage to light artist Dan Flavin.
  • E. Rachel McCleary
    Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77643b0348190962bf23a9857edbe completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.