Triple

T2737988
Position Surface form Disambiguated ID Type / Status
Subject Katharine Towne E60675 entity
Predicate familyName P18 FINISHED
Object Towne
Towne is a surname most notably associated with American actress Katharine Towne.
 E294018 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: Towne | Statement: [Katharine Towne, familyName, Towne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Towne
Context triple: [Katharine Towne, familyName, Towne]
  • A. Rowtown
    Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
  • B. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • C. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • D. Springwood
    Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
  • E. Springwood
    Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
  • 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: Towne
Triple: [Katharine Towne, familyName, Towne]
Generated description
Towne is a surname most notably associated with American actress Katharine Towne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Towne
Target entity description: Towne is a surname most notably associated with American actress Katharine Towne.
  • A. Rowtown
    Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
  • B. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • C. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • D. Springwood
    Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
  • E. Springwood
    Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb147a588190829b74fe05b3a114 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a5dda0819092508b9e10030d09 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb88eed3c8190a74cabe803cdc2ec completed March 10, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_69afb95468c88190929c736cef8c50d5 completed March 10, 2026, 6:25 a.m.
Created at: March 6, 2026, 9:56 p.m.