Triple

T13286440
Position Surface form Disambiguated ID Type / Status
Subject Barons Court station E316456 entity
Predicate designedBy P184 FINISHED
Object Harry W. Ford
Harry W. Ford was an architect known for his work on London Underground stations in the early 20th century.
E1032533 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: Harry W. Ford | Statement: [Barons Court station, designedBy, Harry W. Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry W. Ford
Context triple: [Barons Court station, designedBy, Harry W. Ford]
  • A. Luke Ford
    Luke Ford is an Australian actor best known for his roles in film and television, including a prominent part in the crime drama "Animal Kingdom."
  • B. Robert Newton Ford
    Robert Newton Ford was an American outlaw best known for killing Jesse James, an act that made him infamous in the history of the Old West.
  • C. Burtt Harris
    Burtt Harris is a film producer best known for his work on the acclaimed crime drama "Prince of the City."
  • D. Harry Dodge
    Harry Dodge is an American artist and writer known for his multidisciplinary work in sculpture, video, and performance, as well as for his presence in contemporary queer and feminist discourse.
  • E. John Buckley
    John Buckley is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, the military, and the arts.
  • 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: Harry W. Ford
Triple: [Barons Court station, designedBy, Harry W. Ford]
Generated description
Harry W. Ford was an architect known for his work on London Underground stations in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry W. Ford
Target entity description: Harry W. Ford was an architect known for his work on London Underground stations in the early 20th century.
  • A. Luke Ford
    Luke Ford is an Australian actor best known for his roles in film and television, including a prominent part in the crime drama "Animal Kingdom."
  • B. Robert Newton Ford
    Robert Newton Ford was an American outlaw best known for killing Jesse James, an act that made him infamous in the history of the Old West.
  • C. Burtt Harris
    Burtt Harris is a film producer best known for his work on the acclaimed crime drama "Prince of the City."
  • D. Harry Dodge
    Harry Dodge is an American artist and writer known for his multidisciplinary work in sculpture, video, and performance, as well as for his presence in contemporary queer and feminist discourse.
  • E. John Buckley
    John Buckley is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, the military, and the arts.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990759ebc8190a9487a59e37a69e2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d26a548190be15872154c9a942 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177e07508190b46e6a12f09e7986 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f717e72b988190927b628022bcbf12 completed May 3, 2026, 9:39 a.m.
Created at: April 9, 2026, 9:27 p.m.