Triple

T19516969
Position Surface form Disambiguated ID Type / Status
Subject Huw Ceredig E488301 entity
Predicate sibling P363 FINISHED
Object Gareth Jones
Gareth Jones is a Welsh actor known for his work in British television and theatre.
 E1384538 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: Gareth Jones | Statement: [Huw Ceredig, sibling, Gareth Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gareth Jones
Context triple: [Huw Ceredig, sibling, Gareth Jones]
  • A. Gareth Jones
    Gareth Jones was a prominent British legal scholar best known for his influential work in the field of restitution and unjust enrichment law.
  • B. Huw Bennett
    Huw Bennett is a Welsh former international rugby union player who played as a hooker, most notably for the Ospreys and the Wales national team.
  • C. Huw Weldon
    Huw Weldon was a prominent British television producer and executive, best known for his influential work at the BBC, including serving as Managing Director of BBC Television.
  • D. John Rees
    John Rees is a prominent religious leader associated with the South African Council of Churches, contributing to its ecumenical and social justice work in South Africa.
  • E. Kingsley Jones
    Kingsley Jones is a Welsh former rugby union player and experienced coach who has led several professional teams and national sides, including Canada.
  • 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: Gareth Jones
Triple: [Huw Ceredig, sibling, Gareth Jones]
Generated description
Gareth Jones is a Welsh actor known for his work in British television and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gareth Jones
Target entity description: Gareth Jones is a Welsh actor known for his work in British television and theatre.
  • A. Gareth Jones
    Gareth Jones was a prominent British legal scholar best known for his influential work in the field of restitution and unjust enrichment law.
  • B. Huw Bennett
    Huw Bennett is a Welsh former international rugby union player who played as a hooker, most notably for the Ospreys and the Wales national team.
  • C. Huw Weldon
    Huw Weldon was a prominent British television producer and executive, best known for his influential work at the BBC, including serving as Managing Director of BBC Television.
  • D. John Rees
    John Rees is a prominent religious leader associated with the South African Council of Churches, contributing to its ecumenical and social justice work in South Africa.
  • E. Kingsley Jones
    Kingsley Jones is a Welsh former rugby union player and experienced coach who has led several professional teams and national sides, including Canada.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359ca7648190804c4d655170fda3 completed April 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075eff911c8190ab17bf18a238ca70 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fac21e88190b01cac2860891f01 completed May 15, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a07604b2fe4819090be363844abf2ec completed May 15, 2026, 6:04 p.m.
Created at: April 10, 2026, 1:40 p.m.