Triple

T12409293
Position Surface form Disambiguated ID Type / Status
Subject Hugh Farr E296471 entity
Predicate familyName P18 FINISHED
Object Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
 E982526 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: Farr | Statement: [Hugh Farr, familyName, Farr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farr
Context triple: [Hugh Farr, familyName, Farr]
  • A. Farrell
    Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • B. 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.
  • C. Frewer
    Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
  • D. Fadden
    Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
  • E. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • 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: Farr
Triple: [Hugh Farr, familyName, Farr]
Generated description
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farr
Target entity description: Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • A. Farrell
    Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • B. 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.
  • C. Frewer
    Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
  • D. Fadden
    Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
  • E. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348af5a8819083a075d145b15fd4 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:55 p.m.