Triple

T9438120
Position Surface form Disambiguated ID Type / Status
Subject Michael Hordern E227568 entity
Predicate familyName P18 FINISHED
Object Hordern
Hordern is an English surname most notably associated with the distinguished British actor Sir Michael Hordern.
 E799792 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: Hordern | Statement: [Michael Hordern, familyName, Hordern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hordern
Context triple: [Michael Hordern, familyName, Hordern]
  • A. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • B. Herne
    Herne is a small Flemish municipality in the Belgian province of Flemish Brabant, known for its rural character and location in the Pajottenland region.
  • C. Herne
    Herne is a city in the Ruhr area of North Rhine-Westphalia, Germany, known for its industrial heritage and dense urban character.
  • D. Brighthelmstone
    Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
  • E. Horden
    Horden is a coastal village in County Durham, England, historically known for its coal mining community and proximity to the town of Peterlee.
  • 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: Hordern
Triple: [Michael Hordern, familyName, Hordern]
Generated description
Hordern is an English surname most notably associated with the distinguished British actor Sir Michael Hordern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hordern
Target entity description: Hordern is an English surname most notably associated with the distinguished British actor Sir Michael Hordern.
  • A. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • B. Herne
    Herne is a small Flemish municipality in the Belgian province of Flemish Brabant, known for its rural character and location in the Pajottenland region.
  • C. Herne
    Herne is a city in the Ruhr area of North Rhine-Westphalia, Germany, known for its industrial heritage and dense urban character.
  • D. Brighthelmstone
    Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
  • E. Horden
    Horden is a coastal village in County Durham, England, historically known for its coal mining community and proximity to the town of Peterlee.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.