Triple

T13058926
Position Surface form Disambiguated ID Type / Status
Subject Croydon Town Hall E327650 entity
Predicate architect P184 FINISHED
Object Charles Henman
Charles Henman was a British architect active in the late 19th and early 20th centuries, known for designing prominent civic buildings in England.
 E1018489 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: Charles Henman | Statement: [Croydon Town Hall, architect, Charles Henman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charles Henman
Context triple: [Croydon Town Hall, architect, Charles Henman]
  • A. Paul Groth
    Paul Groth is a computer scientist known for his work in knowledge representation, semantic web technologies, and data provenance.
  • B. Paul Hunter
    Paul Hunter is an acclaimed American music video director known for his visually innovative work with major artists across hip-hop, R&B, and pop.
  • C. Paul Hunter
    Paul Hunter is a film editor known for his work on animated feature films such as "The Nut Job."
  • D. Tim Henman
    Tim Henman is a retired British tennis player best known for his multiple Wimbledon semifinal appearances and role in popularizing tennis in the UK during the 1990s and early 2000s.
  • E. Peter Hewitt
    Peter Hewitt is a British film director known for helming family-oriented and fantasy comedies such as "Bill & Ted's Bogus Journey" and "Garfield: The Movie."
  • 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: Charles Henman
Triple: [Croydon Town Hall, architect, Charles Henman]
Generated description
Charles Henman was a British architect active in the late 19th and early 20th centuries, known for designing prominent civic buildings in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charles Henman
Target entity description: Charles Henman was a British architect active in the late 19th and early 20th centuries, known for designing prominent civic buildings in England.
  • A. Paul Groth
    Paul Groth is a computer scientist known for his work in knowledge representation, semantic web technologies, and data provenance.
  • B. Paul Hunter
    Paul Hunter is an acclaimed American music video director known for his visually innovative work with major artists across hip-hop, R&B, and pop.
  • C. Paul Hunter
    Paul Hunter is a film editor known for his work on animated feature films such as "The Nut Job."
  • D. Tim Henman
    Tim Henman is a retired British tennis player best known for his multiple Wimbledon semifinal appearances and role in popularizing tennis in the UK during the 1990s and early 2000s.
  • E. Peter Hewitt
    Peter Hewitt is a British film director known for helming family-oriented and fantasy comedies such as "Bill & Ted's Bogus Journey" and "Garfield: The Movie."
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980be37208190962e91f1e19df159 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:58 p.m.