Triple

T1969059
Position Surface form Disambiguated ID Type / Status
Subject Margaret Brown Campbell E42755 entity
Predicate familyName P18 FINISHED
Object Campbell
Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
 E218281 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: Campbell | Statement: [Margaret Brown Campbell, familyName, Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campbell
Context triple: [Margaret Brown Campbell, familyName, Campbell]
  • A. Campbell
    Campbell is a small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
  • 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 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.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. 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.
  • 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: Campbell
Triple: [Margaret Brown Campbell, familyName, Campbell]
Generated description
Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campbell
Target entity description: Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
  • A. Campbell
    Campbell is a small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
  • 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 an English occupational surname historically associated with brewing ale or beer.
  • 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. 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.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d05cb88190963039d643bb6637 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd777608190b86d6edc68ff5d9b completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc824df08190ae2893bc0c9374c3 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcef4c988190b28e961b24938442 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.