Triple

T20729016
Position Surface form Disambiguated ID Type / Status
Subject William Farrer E509517 entity
Predicate familyName P18 FINISHED
Object Farrer
Farrer is a surname of English origin borne by various notable individuals, including scientists, politicians, and religious figures.
 E1447444 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: Farrer | Statement: [William Farrer, familyName, Farrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farrer
Context triple: [William Farrer, familyName, Farrer]
  • A. Farrer
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • B. Farrar
    Farrar is a surname most notably associated with American musician and songwriter Jay Farrar, co-founder of the influential alternative country band Uncle Tupelo.
  • C. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • D. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • E. Gayford
    Gayford is a surname most notably associated with New Zealand broadcaster Clarke Gayford, partner of former Prime Minister Jacinda Ardern.
  • 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: Farrer
Triple: [William Farrer, familyName, Farrer]
Generated description
Farrer is a surname of English origin borne by various notable individuals, including scientists, politicians, and religious figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farrer
Target entity description: Farrer is a surname of English origin borne by various notable individuals, including scientists, politicians, and religious figures.
  • A. Farrer
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • B. Farrar
    Farrar is a surname most notably associated with American musician and songwriter Jay Farrar, co-founder of the influential alternative country band Uncle Tupelo.
  • C. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • D. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • E. Gayford
    Gayford is a surname most notably associated with New Zealand broadcaster Clarke Gayford, partner of former Prime Minister Jacinda Ardern.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1eb5d44819082d9fa410e676d91 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e05db8ac8190bd2e7ca0d184a426 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e15d93ec8190bbe859fb42a4a5ac completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e25d8cb08190ba75b792aac192ab completed May 16, 2026, 9:32 p.m.
Created at: April 16, 2026, 12:30 p.m.