Triple

T2506475
Position Surface form Disambiguated ID Type / Status
Subject George Bergstrom E52594 entity
Predicate familyName P18 FINISHED
Object Bergstrom
Bergstrom is a surname of likely Scandinavian origin borne by various individuals, including architect George Bergstrom.
 E271933 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: Bergstrom | Statement: [George Bergstrom, familyName, Bergstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bergstrom
Context triple: [George Bergstrom, familyName, Bergstrom]
  • A. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • 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: Bergstrom
Triple: [George Bergstrom, familyName, Bergstrom]
Generated description
Bergstrom is a surname of likely Scandinavian origin borne by various individuals, including architect George Bergstrom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bergstrom
Target entity description: Bergstrom is a surname of likely Scandinavian origin borne by various individuals, including architect George Bergstrom.
  • A. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • 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

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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cfeb408190ba8107296310dbfc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa7dbb88190815087416b207b54 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.