Triple

T10129831
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Farrington E226307 entity
Predicate familyName P18 FINISHED
Object Farrington
Farrington is an English-language surname of Irish origin that has been borne by various notable individuals across fields such as politics, the arts, and academia.
 E842712 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: Farrington | Statement: [Suzanne Farrington, familyName, Farrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farrington
Context triple: [Suzanne Farrington, familyName, Farrington]
  • A. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • B. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • C. Fairview
    Fairview is a residential neighbourhood in Halifax, Nova Scotia, known for its diverse community and proximity to major urban amenities.
  • D. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • E. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • 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: Farrington
Triple: [Suzanne Farrington, familyName, Farrington]
Generated description
Farrington is an English-language surname of Irish origin that has been borne by various notable individuals across fields such as politics, the arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farrington
Target entity description: Farrington is an English-language surname of Irish origin that has been borne by various notable individuals across fields such as politics, the arts, and academia.
  • A. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • B. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • C. Fairview
    Fairview is a residential neighbourhood in Halifax, Nova Scotia, known for its diverse community and proximity to major urban amenities.
  • D. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • E. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc7c50b08190a04aa2f58a6c300a completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cecd67448190a28a90148ad83c20 completed April 5, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_69d2cf4d259881909f44bf1ec39524de completed April 5, 2026, 9:08 p.m.
Created at: March 30, 2026, 9:05 p.m.