Triple

T18623878
Position Surface form Disambiguated ID Type / Status
Subject William Haseldine Pepys E455226 entity
Predicate hasMiddleName P143 FINISHED
Object Haseldine
Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
 E1334271 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: Haseldine | Statement: [William Haseldine Pepys, hasMiddleName, Haseldine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haseldine
Context triple: [William Haseldine Pepys, hasMiddleName, Haseldine]
  • A. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • B. Hythe
    Hythe is a small village in northwestern Alberta, Canada, situated west of the city of Grande Prairie.
  • C. Hythe
    Hythe is a coastal village and port town in Hampshire, England, situated on the edge of Southampton Water and known for its historic pier and ferry link to Southampton.
  • D. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • E. Harland
    Harland is a surname of English and Irish origin borne by various notable individuals, including shipbuilder Edward James Harland.
  • 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: Haseldine
Triple: [William Haseldine Pepys, hasMiddleName, Haseldine]
Generated description
Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haseldine
Target entity description: Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
  • A. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • B. Hythe
    Hythe is a small village in northwestern Alberta, Canada, situated west of the city of Grande Prairie.
  • C. Hythe
    Hythe is a coastal village and port town in Hampshire, England, situated on the edge of Southampton Water and known for its historic pier and ferry link to Southampton.
  • D. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • E. Harland
    Harland is a surname of English and Irish origin borne by various notable individuals, including shipbuilder Edward James Harland.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f02dc248190a82341eeb2473593 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d78359c8190bba366871b5ef4e4 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050e224e4881908ad55301bda567dc completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050ecc33e48190bc28430a6a771492 completed May 13, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:46 a.m.