Triple

T20068704
Position Surface form Disambiguated ID Type / Status
Subject Harries E499676 entity
Predicate hasNotableBearer P458 FINISHED
Object Meirion Harries
Meirion Harries is a British writer and historian known for his works on cultural history, war, and Japanese society.
E1410505 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: Meirion Harries | Statement: [Harries, hasNotableBearer, Meirion Harries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meirion Harries
Context triple: [Harries, hasNotableBearer, Meirion Harries]
  • A. Gwyn Morgan
    Gwyn Morgan is a Welsh writer and former teacher known for his contributions to Welsh-language literature, particularly children's and young adult fiction.
  • B. Gwynoro Jones
    Gwynoro Jones is a Welsh politician and former Labour MP known for his advocacy of devolution and later involvement with the Social Democratic Party.
  • C. Emrys Jones
    Emrys Jones was a distinguished British geographer recognized for his influential work in urban and social geography.
  • D. Glyn Owen
    Glyn Owen was a British actor best known for his television work in the 1960s and 1970s, including prominent roles in series such as "The Brothers."
  • E. Huw Ceredig
    Huw Ceredig was a Welsh actor best known for his long-running role in the Welsh-language soap opera "Pobol y Cwm."
  • 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: Meirion Harries
Triple: [Harries, hasNotableBearer, Meirion Harries]
Generated description
Meirion Harries is a British writer and historian known for his works on cultural history, war, and Japanese society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meirion Harries
Target entity description: Meirion Harries is a British writer and historian known for his works on cultural history, war, and Japanese society.
  • A. Gwyn Morgan
    Gwyn Morgan is a Welsh writer and former teacher known for his contributions to Welsh-language literature, particularly children's and young adult fiction.
  • B. Gwynoro Jones
    Gwynoro Jones is a Welsh politician and former Labour MP known for his advocacy of devolution and later involvement with the Social Democratic Party.
  • C. Emrys Jones
    Emrys Jones was a distinguished British geographer recognized for his influential work in urban and social geography.
  • D. Glyn Owen
    Glyn Owen was a British actor best known for his television work in the 1960s and 1970s, including prominent roles in series such as "The Brothers."
  • E. Huw Ceredig
    Huw Ceredig was a Welsh actor best known for his long-running role in the Welsh-language soap opera "Pobol y Cwm."
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637ac3fc8190911063b979c3afb8 completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3acb7881908e23b1d066c35051 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fbb7f208190a032f9f312fd07de completed May 16, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:39 p.m.