Triple

T23151454
Position Surface form Disambiguated ID Type / Status
Subject Thomas Elmhirst E578333 entity
Predicate familyName P18 FINISHED
Object Elmhirst
Elmhirst is an English surname associated with several notable figures in British public life, including military and cultural leaders.
 E1574754 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: Elmhirst | Statement: [Thomas Elmhirst, familyName, Elmhirst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elmhirst
Context triple: [Thomas Elmhirst, familyName, Elmhirst]
  • A. Windhill
    Windhill is a district within the town of Shipley in West Yorkshire, England, forming part of the local community represented in the Shipley UK Parliament constituency.
  • B. Shadoxhurst
    Shadoxhurst is a rural village and civil parish in the Ashford district of Kent, England, known for its woodland surroundings and traditional English countryside character.
  • C. Wilstead
    Wilstead is a village and civil parish located within the Borough of Bedford in Bedfordshire, England.
  • D. Baverstock
    Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
  • E. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • 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: Elmhirst
Triple: [Thomas Elmhirst, familyName, Elmhirst]
Generated description
Elmhirst is an English surname associated with several notable figures in British public life, including military and cultural leaders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elmhirst
Target entity description: Elmhirst is an English surname associated with several notable figures in British public life, including military and cultural leaders.
  • A. Windhill
    Windhill is a district within the town of Shipley in West Yorkshire, England, forming part of the local community represented in the Shipley UK Parliament constituency.
  • B. Shadoxhurst
    Shadoxhurst is a rural village and civil parish in the Ashford district of Kent, England, known for its woodland surroundings and traditional English countryside character.
  • C. Wilstead
    Wilstead is a village and civil parish located within the Borough of Bedford in Bedfordshire, England.
  • D. Baverstock
    Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
  • E. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ef982488190984a6358bdcd577c completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c309a54b881909b53677488534b7c completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3105ab388190b135f5c7de240023 completed May 19, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0c317738d08190adfe51d2b8075f1b completed May 19, 2026, 9:46 a.m.
Created at: April 17, 2026, 4:01 p.m.