Triple

T623417
Position Surface form Disambiguated ID Type / Status
Subject Frederick Gowland Hopkins E14561 entity
Predicate middleName P143 FINISHED
Object Gowland
Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
E80368 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: Gowland | Statement: [Frederick Gowland Hopkins, middleName, Gowland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gowland
Context triple: [Frederick Gowland Hopkins, middleName, Gowland]
  • A. Baguley
    Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
  • B. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • C. Galloway
    Galloway is a historic region in southwestern Scotland known for its rugged coastline, rural landscapes, and medieval ties to powerful Scottish clans.
  • D. Harrold
    Harrold is a given name and surname, used as a variant spelling of Harold.
  • E. Govan
    Govan is a historic district on the River Clyde in Glasgow, Scotland, traditionally known for its shipbuilding industry and working-class roots.
  • 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: Gowland
Triple: [Frederick Gowland Hopkins, middleName, Gowland]
Generated description
Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gowland
Target entity description: Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
  • A. Baguley
    Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
  • B. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • C. Galloway
    Galloway is a historic region in southwestern Scotland known for its rugged coastline, rural landscapes, and medieval ties to powerful Scottish clans.
  • D. Harrold
    Harrold is a given name and surname, used as a variant spelling of Harold.
  • E. Govan
    Govan is a historic district on the River Clyde in Glasgow, Scotland, traditionally known for its shipbuilding industry and working-class roots.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e41753881909f0faed720cc31bc completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778b82e8819083fbbedb9c3e340e completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a5780efc1c81908030c0da71fa7fe5 completed March 2, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69a578864aa88190a8a390fefc76cea5 completed March 2, 2026, 11:46 a.m.
Created at: March 1, 2026, 7:35 p.m.