Triple

T14066344
Position Surface form Disambiguated ID Type / Status
Subject Hyde Park on Hudson E338482 entity
Predicate producer P490 FINISHED
Object Nicolas Brown
Nicolas Brown is a film producer known for his work on the historical comedy-drama "Hyde Park on Hudson."
E1077301 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: Nicolas Brown | Statement: [Hyde Park on Hudson, producer, Nicolas Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolas Brown
Context triple: [Hyde Park on Hudson, producer, Nicolas Brown]
  • A. Nicholas Edward Brown
    Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
  • B. Nicholas Brown Jr.
    Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
  • C. O. Nicholas Brown
    O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
  • D. Nicholas Butt
    Nicholas Butt is a retired English footballer best known for his midfield role in Manchester United's successful 1990s and early 2000s teams and later work as a coach and academy director.
  • E. Nicholas Baker
    Nicholas Baker is a relatively uncommon personal name that may refer to multiple individuals across different fields rather than a single widely recognized public figure.
  • 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: Nicolas Brown
Triple: [Hyde Park on Hudson, producer, Nicolas Brown]
Generated description
Nicolas Brown is a film producer known for his work on the historical comedy-drama "Hyde Park on Hudson."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nicolas Brown
Target entity description: Nicolas Brown is a film producer known for his work on the historical comedy-drama "Hyde Park on Hudson."
  • A. Nicholas Edward Brown
    Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
  • B. Nicholas Brown Jr.
    Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
  • C. O. Nicholas Brown
    O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
  • D. Nicholas Butt
    Nicholas Butt is a retired English footballer best known for his midfield role in Manchester United's successful 1990s and early 2000s teams and later work as a coach and academy director.
  • E. Nicholas Baker
    Nicholas Baker is a relatively uncommon personal name that may refer to multiple individuals across different fields rather than a single widely recognized public figure.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb669111081909ccd167f41571a00 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc17d16008190bfec11ba0c229aae completed May 7, 2026, 4:44 p.m.
NED2 Entity disambiguation (via description) batch_69fcc1fe9bb0819098aa2655330569cb completed May 7, 2026, 4:46 p.m.
Created at: April 9, 2026, 10:21 p.m.