Triple

T10861544
Position Surface form Disambiguated ID Type / Status
Subject William Bickerton E256416 entity
Predicate familyName P18 FINISHED
Object Bickerton
Bickerton is an English-origin surname borne by various notable individuals across fields such as religion, science, and the arts.
 E891278 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: Bickerton | Statement: [William Bickerton, familyName, Bickerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bickerton
Context triple: [William Bickerton, familyName, Bickerton]
  • A. Norriss
    Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
  • B. Lundie
    Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
  • C. Selwyn
    Selwyn is a New Zealand parliamentary electorate located in the South Island, known for its largely rural character and rapid population growth around the Canterbury region.
  • D. Riddes
    Riddes is a municipality in the canton of Valais in southwestern Switzerland, known for hosting the Écône seminary of the traditionalist Catholic Society of Saint Pius X.
  • E. Beynes
    Beynes is a commune in the Yvelines department of the Île-de-France region in north-central France.
  • 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: Bickerton
Triple: [William Bickerton, familyName, Bickerton]
Generated description
Bickerton is an English-origin surname borne by various notable individuals across fields such as religion, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bickerton
Target entity description: Bickerton is an English-origin surname borne by various notable individuals across fields such as religion, science, and the arts.
  • A. Norriss
    Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
  • B. Lundie
    Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
  • C. Selwyn
    Selwyn is a New Zealand parliamentary electorate located in the South Island, known for its largely rural character and rapid population growth around the Canterbury region.
  • D. Riddes
    Riddes is a municipality in the canton of Valais in southwestern Switzerland, known for hosting the Écône seminary of the traditionalist Catholic Society of Saint Pius X.
  • E. Beynes
    Beynes is a commune in the Yvelines department of the Île-de-France region in north-central France.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.