Triple

T6557425
Position Surface form Disambiguated ID Type / Status
Subject Lady Maud Lygon E152484 entity
Predicate familyName P18 FINISHED
Object Lygon
Lygon is an English aristocratic family name historically associated with the Earls Beauchamp and the British nobility.
E600220 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: Lygon | Statement: [Lady Maud Lygon, familyName, Lygon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lygon
Context triple: [Lady Maud Lygon, familyName, Lygon]
  • A. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • B. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • C. Longridge
    Longridge is a small village located in the council area of West Lothian in central Scotland.
  • D. Longridge
    Longridge is a small town in Lancashire, England, known for its historic stone quarrying industry and scenic location on the edge of the Ribble Valley.
  • E. Grindon
    Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
  • 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: Lygon
Triple: [Lady Maud Lygon, familyName, Lygon]
Generated description
Lygon is an English aristocratic family name historically associated with the Earls Beauchamp and the British nobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lygon
Target entity description: Lygon is an English aristocratic family name historically associated with the Earls Beauchamp and the British nobility.
  • A. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • B. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • C. Longridge
    Longridge is a small village located in the council area of West Lothian in central Scotland.
  • D. Longridge
    Longridge is a small town in Lancashire, England, known for its historic stone quarrying industry and scenic location on the edge of the Ribble Valley.
  • E. Grindon
    Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb862e308190af1028c76484a1ea completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:52 p.m.