Triple

T10150618
Position Surface form Disambiguated ID Type / Status
Subject Vernon Hartshorn E232626 entity
Predicate familyName P18 FINISHED
Object Hartshorn
Hartshorn is an English surname of likely occupational or topographic origin, historically borne by families in Britain.
 E843072 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: Hartshorn | Statement: [Vernon Hartshorn, familyName, Hartshorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hartshorn
Context triple: [Vernon Hartshorn, familyName, Hartshorn]
  • A. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • B. Hornsherred
    Hornsherred is a peninsula in eastern Denmark situated between Roskilde Fjord and Isefjord, known for its rural landscapes, small towns, and coastal scenery.
  • C. Warehorne
    Warehorne is a small rural village and civil parish in the Ashford district of Kent, England, known for its historic church and countryside setting.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Hawksworth
    Hawksworth is a small village in Nottinghamshire, England, known for its rural character and historic parish church.
  • 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: Hartshorn
Triple: [Vernon Hartshorn, familyName, Hartshorn]
Generated description
Hartshorn is an English surname of likely occupational or topographic origin, historically borne by families in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hartshorn
Target entity description: Hartshorn is an English surname of likely occupational or topographic origin, historically borne by families in Britain.
  • A. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • B. Hornsherred
    Hornsherred is a peninsula in eastern Denmark situated between Roskilde Fjord and Isefjord, known for its rural landscapes, small towns, and coastal scenery.
  • C. Warehorne
    Warehorne is a small rural village and civil parish in the Ashford district of Kent, England, known for its historic church and countryside setting.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Hawksworth
    Hawksworth is a small village in Nottinghamshire, England, known for its rural character and historic parish church.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e640d1e0819094d30556ccb958b0 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e750ceb08190bcb2d1b4c248b30d completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7c486ec819085ad0019ab12de2a completed April 5, 2026, 10:52 p.m.
Created at: March 30, 2026, 9:08 p.m.