Triple

T8000694
Position Surface form Disambiguated ID Type / Status
Subject Tony Benn E186239 entity
Predicate spouse P13 FINISHED
Object Caroline Benn
Caroline Benn was a prominent British educationalist and campaigner known for her advocacy of comprehensive education and social justice.
E704109 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: Caroline Benn | Statement: [Tony Benn, spouse, Caroline Benn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Benn
Context triple: [Tony Benn, spouse, Caroline Benn]
  • A. Caroline Fry
    Caroline Fry was a 19th-century English Christian writer and moralist known for her religious essays and devotional works.
  • B. Caroline Black
    Caroline Black is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Black.
  • C. Caroline Baron
    Caroline Baron is an American film producer known for her work on acclaimed independent and studio films, including the biographical drama "Capote."
  • D. Caroline Forbes
    Caroline Forbes is a central character in The Vampire Diaries, known as a once-insecure high school cheerleader who becomes a strong, compassionate vampire and loyal friend.
  • E. Caroline Graham
    Caroline Graham is a British crime novelist best known for creating the Chief Inspector Barnaby books that inspired the television series "Midsomer Murders."
  • 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: Caroline Benn
Triple: [Tony Benn, spouse, Caroline Benn]
Generated description
Caroline Benn was a prominent British educationalist and campaigner known for her advocacy of comprehensive education and social justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caroline Benn
Target entity description: Caroline Benn was a prominent British educationalist and campaigner known for her advocacy of comprehensive education and social justice.
  • A. Caroline Fry
    Caroline Fry was a 19th-century English Christian writer and moralist known for her religious essays and devotional works.
  • B. Caroline Black
    Caroline Black is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Black.
  • C. Caroline Baron
    Caroline Baron is an American film producer known for her work on acclaimed independent and studio films, including the biographical drama "Capote."
  • D. Caroline Forbes
    Caroline Forbes is a central character in The Vampire Diaries, known as a once-insecure high school cheerleader who becomes a strong, compassionate vampire and loyal friend.
  • E. Caroline Graham
    Caroline Graham is a British crime novelist best known for creating the Chief Inspector Barnaby books that inspired the television series "Midsomer Murders."
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c9cd06081908b62bb41e228c321 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe11aefc88190bcf614e936455927 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:17 p.m.