Triple

T9906043
Position Surface form Disambiguated ID Type / Status
Subject Geoff Downes E185013 entity
Predicate familyName P18 FINISHED
Object Downes
Downes is an English surname borne by various notable individuals across fields such as music, sports, and public life.
 E828423 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: Downes | Statement: [Geoff Downes, familyName, Downes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Downes
Context triple: [Geoff Downes, familyName, Downes]
  • A. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • B. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • C. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Durkee
    Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
  • 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: Downes
Triple: [Geoff Downes, familyName, Downes]
Generated description
Downes is an English surname borne by various notable individuals across fields such as music, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Downes
Target entity description: Downes is an English surname borne by various notable individuals across fields such as music, sports, and public life.
  • A. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • B. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • C. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Durkee
    Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50cf8808190a41e565216712704 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb316a188190a1c7fbe0d1997cf5 completed April 5, 2026, 4:55 a.m.
NEDg Description generation batch_69d1ed2864108190bbeb2e38ff733773 completed April 5, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69d1edcf68c48190ba548c19042323fd completed April 5, 2026, 5:06 a.m.
Created at: March 30, 2026, 8:40 p.m.