Triple

T19666813
Position Surface form Disambiguated ID Type / Status
Subject Jay Farrar E472220 entity
Predicate familyName P18 FINISHED
Object 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.
 E1388958 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: Farrar | Statement: [Jay Farrar, familyName, Farrar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farrar
Context triple: [Jay Farrar, familyName, Farrar]
  • A. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • B. Farrer
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • C. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • D. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • E. Frewer
    Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
  • 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: Farrar
Triple: [Jay Farrar, familyName, Farrar]
Generated description
Farrar is a surname most notably associated with American musician and songwriter Jay Farrar, co-founder of the influential alternative country band Uncle Tupelo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farrar
Target entity description: Farrar is a surname most notably associated with American musician and songwriter Jay Farrar, co-founder of the influential alternative country band Uncle Tupelo.
  • A. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • B. Farrer
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • C. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • D. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • E. Frewer
    Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641694e448190bc734c07ae2df024 completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787ba7fa88190940083085ded9f81 completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a0788c801588190bd4b9953a68f45de completed May 15, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a078939b6348190a137bc39c42b5953 completed May 15, 2026, 8:59 p.m.
Created at: April 10, 2026, 1:45 p.m.