Triple

T677291
Position Surface form Disambiguated ID Type / Status
Subject Sidney Darlington E13105 entity
Predicate familyName P18 FINISHED
Object Darlington
Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
 E83409 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: Darlington | Statement: [Sidney Darlington, familyName, Darlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Darlington
Context triple: [Sidney Darlington, familyName, Darlington]
  • A. Durham
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • B. Rockingham
    Rockingham is a coastal city in Western Australia known for its beaches, marine wildlife, and proximity to Perth.
  • C. 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.
  • D. Lancaster
    Lancaster is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • 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: Darlington
Triple: [Sidney Darlington, familyName, Darlington]
Generated description
Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Darlington
Target entity description: Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
  • A. Durham
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • B. Rockingham
    Rockingham is a coastal city in Western Australia known for its beaches, marine wildlife, and proximity to Perth.
  • C. 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.
  • D. 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.
  • E. Lancaster
    Lancaster is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04c89148190b6330e86697bb37b completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a38b188190802394a35c83b10b completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4482584819083b6b84ae8bf9b26 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4023288190b35ecf295eb58dc1 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.