Triple

T17250442
Position Surface form Disambiguated ID Type / Status
Subject Sheffield Brightside E418736 entity
Predicate MP P14470 FINISHED
Object Richard Caborn
Richard Caborn is a British Labour politician who served as a long-standing Member of Parliament and held ministerial roles including Minister for Sport.
E1258690 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: Richard Caborn | Statement: [Sheffield Brightside, MP, Richard Caborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Caborn
Context triple: [Sheffield Brightside, MP, Richard Caborn]
  • A. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • B. Mick Ward
    Mick Ward is a musician best known for his work with the band Kingfish.
  • C. Phil DeVille
    Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
  • D. Alan McNeil
    Alan McNeil is an editor known for his work on the publication "The Cat's-Paw."
  • E. Ian Reed
    Ian Reed is a colleague of the fictional London detective John Luther in the British crime drama series "Luther."
  • 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: Richard Caborn
Triple: [Sheffield Brightside, MP, Richard Caborn]
Generated description
Richard Caborn is a British Labour politician who served as a long-standing Member of Parliament and held ministerial roles including Minister for Sport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Caborn
Target entity description: Richard Caborn is a British Labour politician who served as a long-standing Member of Parliament and held ministerial roles including Minister for Sport.
  • A. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • B. Mick Ward
    Mick Ward is a musician best known for his work with the band Kingfish.
  • C. Phil DeVille
    Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
  • D. Alan McNeil
    Alan McNeil is an editor known for his work on the publication "The Cat's-Paw."
  • E. Ian Reed
    Ian Reed is a colleague of the fictional London detective John Luther in the British crime drama series "Luther."
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e270fc48190a75f3893a5ec059b completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f96e548190be92846e072118f9 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01717495208190b415219d15e71fb7 completed May 11, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a01721f5b9081909a8bc817ba0a5986 completed May 11, 2026, 6:07 a.m.
Created at: April 10, 2026, 5:39 a.m.