Triple

T12002259
Position Surface form Disambiguated ID Type / Status
Subject Clifton Pugh E285693 entity
Predicate spouse P13 FINISHED
Object Marian Pugh
Marian Pugh is best known as the spouse of prominent Australian painter Clifton Pugh.
 E1048077 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: Marian Pugh | Statement: [Clifton Pugh, spouse, Marian Pugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marian Pugh
Context triple: [Clifton Pugh, spouse, Marian Pugh]
  • A. Mary Pugh
    Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
  • B. Marjorie Parry
    Marjorie Parry was the wife of renowned English conductor and cellist Sir John Barbirolli.
  • C. Peggy Lloyd
    Peggy Lloyd was an American stage actress and director known for her work in early 20th-century theater and as the wife and collaborator of actor Harold Lloyd.
  • D. Marjorie Wren
    Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
  • E. Barbara Clough
    Barbara Clough was the long-time wife and partner of legendary English football manager Brian Clough, known for her supportive role throughout his career and family life.
  • 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: Marian Pugh
Triple: [Clifton Pugh, spouse, Marian Pugh]
Generated description
Marian Pugh is best known as the spouse of prominent Australian painter Clifton Pugh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marian Pugh
Target entity description: Marian Pugh is best known as the spouse of prominent Australian painter Clifton Pugh.
  • A. Mary Pugh
    Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
  • B. Marjorie Parry
    Marjorie Parry was the wife of renowned English conductor and cellist Sir John Barbirolli.
  • C. Peggy Lloyd
    Peggy Lloyd was an American stage actress and director known for her work in early 20th-century theater and as the wife and collaborator of actor Harold Lloyd.
  • D. Marjorie Wren
    Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
  • E. Barbara Clough
    Barbara Clough was the long-time wife and partner of legendary English football manager Brian Clough, known for her supportive role throughout his career and family life.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9112948190a0dd747a67f8206a completed May 3, 2026, 3:36 p.m.
NEDg Description generation batch_69f7763fc23c819098d46ab0906b8764 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 8, 2026, 9:46 p.m.