Triple

T566286
Position Surface form Disambiguated ID Type / Status
Subject Russell T Davies E13559 entity
Predicate familyName P18 FINISHED
Object Davies
Davies is a common Welsh-origin surname borne by numerous notable individuals across fields such as literature, politics, sports, and entertainment.
 E71122 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: Davies | Statement: [Russell T Davies, familyName, Davies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Davies
Context triple: [Russell T Davies, familyName, Davies]
  • A. Donald Davies
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • B. Parbold
    Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
  • C. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • 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: Davies
Triple: [Russell T Davies, familyName, Davies]
Generated description
Davies is a common Welsh-origin surname borne by numerous notable individuals across fields such as literature, politics, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Davies
Target entity description: Davies is a common Welsh-origin surname borne by numerous notable individuals across fields such as literature, politics, sports, and entertainment.
  • A. Donald Davies
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • B. Parbold
    Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
  • C. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b01aca48190944408d066519149 completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efd0d5b88190a8c0822800f48e2a completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f043efec8190a3f53ab2764252be completed March 2, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a4f3eb1e3481909aa2b8290ed99e49 completed March 2, 2026, 2:20 a.m.
Created at: March 1, 2026, 7:32 p.m.