Triple

T6423621
Position Surface form Disambiguated ID Type / Status
Subject Wycombe (UK Parliament constituency) E128003 entity
Predicate previousMP P31607 FINISHED
Object John Hall
John Hall was a British Conservative politician who served as a Member of Parliament in the mid-20th century.
 E592297 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: John Hall | Statement: [Wycombe (UK Parliament constituency), previousMP, John Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hall
Context triple: [Wycombe (UK Parliament constituency), previousMP, John Hall]
  • A. John Hall
    John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
  • B. John Hall
    John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
  • C. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • D. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • E. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • 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: John Hall
Triple: [Wycombe (UK Parliament constituency), previousMP, John Hall]
Generated description
John Hall was a British Conservative politician who served as a Member of Parliament in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Hall
Target entity description: John Hall was a British Conservative politician who served as a Member of Parliament in the mid-20th century.
  • A. John Hall
    John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
  • B. John Hall
    John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
  • C. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • D. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • E. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06906eea88190a445c1ff1169c2b1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640dc01188190b67290801aae0d6c completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c642d95c1481909c0bececbcef2929 completed March 27, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69c643579a388190a2b07669539bd9b7 completed March 27, 2026, 8:44 a.m.
Created at: March 22, 2026, 4:43 p.m.