Triple

T8336972
Position Surface form Disambiguated ID Type / Status
Subject Hardwicke Rawnsley E195812 entity
Predicate givenName P17 FINISHED
Object Hardwicke
Hardwicke is a given name most notably borne by Hardwicke Rawnsley, an English clergyman, conservationist, and co-founder of the National Trust.
 E728279 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: Hardwicke | Statement: [Hardwicke Rawnsley, givenName, Hardwicke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hardwicke
Context triple: [Hardwicke Rawnsley, givenName, Hardwicke]
  • A. Haverstock
    Haverstock is an electoral ward in the London Borough of Camden, England.
  • B. Egremont
    Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. Waddington
    Waddington is a village and civil parish in the North Kesteven district of Lincolnshire, England, known for its proximity to the city of Lincoln and RAF Waddington airbase.
  • E. Waddington
    Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
  • 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: Hardwicke
Triple: [Hardwicke Rawnsley, givenName, Hardwicke]
Generated description
Hardwicke is a given name most notably borne by Hardwicke Rawnsley, an English clergyman, conservationist, and co-founder of the National Trust.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hardwicke
Target entity description: Hardwicke is a given name most notably borne by Hardwicke Rawnsley, an English clergyman, conservationist, and co-founder of the National Trust.
  • A. Haverstock
    Haverstock is an electoral ward in the London Borough of Camden, England.
  • B. Egremont
    Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. Waddington
    Waddington is a village and civil parish in the North Kesteven district of Lincolnshire, England, known for its proximity to the city of Lincoln and RAF Waddington airbase.
  • E. Waddington
    Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd5027c81909724f25aa30bbe58 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc71005f0819092c46fa5a43f2a15 completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcb90bec88190a2c19681405aa13e completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd0fc9488190a0a576c385b9bc1f completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:57 p.m.