Triple

T10760579
Position Surface form Disambiguated ID Type / Status
Subject Lord Pigot E253814 entity
Predicate familyName P18 FINISHED
Object Pigot
Pigot is a British surname historically associated with several notable figures, including politicians, military officers, and colonial administrators.
E884592 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: Pigot | Statement: [Lord Pigot, familyName, Pigot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pigot
Context triple: [Lord Pigot, familyName, Pigot]
  • A. Hyde Parker
    Hyde Parker was a British Royal Navy admiral best known for his overall command during the early stages of the 1801 Battle of Copenhagen, where Vice-Admiral Horatio Nelson served under him.
  • B. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • C. Sandiacre
    Sandiacre is a village and civil parish in the Erewash district of Derbyshire, England, situated near the border with Nottinghamshire.
  • D. Farrer
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • E. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • 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: Pigot
Triple: [Lord Pigot, familyName, Pigot]
Generated description
Pigot is a British surname historically associated with several notable figures, including politicians, military officers, and colonial administrators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pigot
Target entity description: Pigot is a British surname historically associated with several notable figures, including politicians, military officers, and colonial administrators.
  • A. Hyde Parker
    Hyde Parker was a British Royal Navy admiral best known for his overall command during the early stages of the 1801 Battle of Copenhagen, where Vice-Admiral Horatio Nelson served under him.
  • B. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • C. Sandiacre
    Sandiacre is a village and civil parish in the Erewash district of Derbyshire, England, situated near the border with Nottinghamshire.
  • D. Farrer
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • E. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2344b0ec8190b5d713c129790288 completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de27fb843c81908c0d0a5fb231543f completed April 14, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:16 p.m.