Triple

T21217950
Position Surface form Disambiguated ID Type / Status
Subject Hermione Baddeley E522885 entity
Predicate familyName P18 FINISHED
Object Baddeley
Baddeley is an English surname most notably associated with the character actress Hermione Baddeley.
E1123664 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: Baddeley | Statement: [Hermione Baddeley, familyName, Baddeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baddeley
Context triple: [Hermione Baddeley, familyName, Baddeley]
  • A. Baddeley
    Baddeley is the given name of Sir Baddeley Devesi, the first Governor-General of the Solomon Islands.
  • B. Alan Baddeley
    Alan Baddeley is a British psychologist best known for his influential research on human memory and for developing the multicomponent model of working memory.
  • C. Richard Atkinson
    Richard Atkinson was a British archaeologist noted for his influential excavations and research at prehistoric sites such as Stonehenge.
  • D. Craik
    Craik is a small town in south-central Saskatchewan, Canada, known for its agricultural surroundings and location roughly midway between Regina and Saskatoon.
  • E. Russell Atkinson
    Russell Atkinson is a computer scientist known for his work in programming language design, including contributions to the development of the CLU language.
  • 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: Baddeley
Triple: [Hermione Baddeley, familyName, Baddeley]
Generated description
Baddeley is an English surname most notably associated with the character actress Hermione Baddeley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baddeley
Target entity description: Baddeley is an English surname most notably associated with the character actress Hermione Baddeley.
  • A. Baddeley chosen
    Baddeley is the given name of Sir Baddeley Devesi, the first Governor-General of the Solomon Islands.
  • B. Alan Baddeley
    Alan Baddeley is a British psychologist best known for his influential research on human memory and for developing the multicomponent model of working memory.
  • C. Richard Atkinson
    Richard Atkinson was a British archaeologist noted for his influential excavations and research at prehistoric sites such as Stonehenge.
  • D. Craik
    Craik is a small town in south-central Saskatchewan, Canada, known for its agricultural surroundings and location roughly midway between Regina and Saskatoon.
  • E. Russell Atkinson
    Russell Atkinson is a computer scientist known for his work in programming language design, including contributions to the development of the CLU language.
  • F. None of above.

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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097edb6de4819094cf7a50670afdfa completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f5016348190aeb01856a5c57b41 completed May 17, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a097fe399048190a1b29f16d8e46d8d completed May 17, 2026, 8:44 a.m.
Created at: April 16, 2026, 3:42 p.m.