Triple

T8136135
Position Surface form Disambiguated ID Type / Status
Subject Boodle's E189973 entity
Predicate namedAfter P63 FINISHED
Object Edward Boodle
Edward Boodle was a historical figure after whom the famous London gentlemen’s club Boodle’s was named.
 E714232 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: Edward Boodle | Statement: [Boodle's, namedAfter, Edward Boodle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edward Boodle
Context triple: [Boodle's, namedAfter, Edward Boodle]
  • A. Thomas Basset
    Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
  • B. Guy Woolford
    Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
  • C. William Orlamond
    William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
  • D. Count Muffat
    Count Muffat is a wealthy, morally conflicted aristocrat in Émile Zola’s novel "Nana," whose obsession with the courtesan Nana leads to his social and financial ruin.
  • E. Henry Boddington III
    Henry Boddington III was an architect known for his work on the Manitoba Legislative Building in Winnipeg, Canada.
  • 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: Edward Boodle
Triple: [Boodle's, namedAfter, Edward Boodle]
Generated description
Edward Boodle was a historical figure after whom the famous London gentlemen’s club Boodle’s was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edward Boodle
Target entity description: Edward Boodle was a historical figure after whom the famous London gentlemen’s club Boodle’s was named.
  • A. Thomas Basset
    Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
  • B. Guy Woolford
    Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
  • C. William Orlamond
    William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
  • D. Count Muffat
    Count Muffat is a wealthy, morally conflicted aristocrat in Émile Zola’s novel "Nana," whose obsession with the courtesan Nana leads to his social and financial ruin.
  • E. Henry Boddington III
    Henry Boddington III was an architect known for his work on the Manitoba Legislative Building in Winnipeg, Canada.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43fff6e0819086c95b571272b50c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc949065248190b67ba7aa2688903e completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c180188190a2d541e8ea9a4c57 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970cf55c8190abf432ac68d6bbc3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:35 p.m.