Triple

T269067
Position Surface form Disambiguated ID Type / Status
Subject Trevor Horn E5587 entity
Predicate birthPlace P1 FINISHED
Object Durham
Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
E59757 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: Durham | Statement: [Trevor Horn, birthPlace, Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham
Context triple: [Trevor Horn, birthPlace, Durham]
  • A. Durham, North Carolina
    Durham, North Carolina is a major city in the Research Triangle region known for Duke University, a strong research and tech economy, and a rich civil rights and tobacco-industry history.
  • B. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • C. York
    York is a historic walled city in North Yorkshire, England, renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • D. York
    York is a historic former municipality in Ontario, Canada, that is now part of the modern city of Toronto.
  • E. Lancaster
    Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • 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: Durham
Triple: [Trevor Horn, birthPlace, Durham]
Generated description
Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Durham
Target entity description: Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • A. Durham, North Carolina
    Durham, North Carolina is a major city in the Research Triangle region known for Duke University, a strong research and tech economy, and a rich civil rights and tobacco-industry history.
  • B. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • C. York
    York is a historic walled city in North Yorkshire, England, renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • D. York
    York is a historic former municipality in Ontario, Canada, that is now part of the modern city of Toronto.
  • E. Lancaster
    The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db00ed48190be6f598807265356 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a467f8341081909e4fbdbe44a2e799 completed March 1, 2026, 4:23 p.m.
NEDg Description generation batch_69a46874d80c8190ae91135b41c1f40c completed March 1, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69a468c0d7088190b12f89acb4c8fbbc completed March 1, 2026, 4:26 p.m.
Created at: Feb. 28, 2026, 2:57 a.m.