Triple

T14367620
Position Surface form Disambiguated ID Type / Status
Subject Edward Hardwicke E356275 entity
Predicate spouse P13 FINISHED
Object Anne Iddon
Anne Iddon was the wife of English actor Edward Hardwicke, known for her connection to his long career in film, television, and theatre.
E1096296 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: Anne Iddon | Statement: [Edward Hardwicke, spouse, Anne Iddon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Iddon
Context triple: [Edward Hardwicke, spouse, Anne Iddon]
  • A. Heather Liddell
    Heather Liddell is the daughter of Australian radio and electronics pioneer Florence Violet McKenzie.
  • B. Emily Harriet Kerrison
    Emily Harriet Kerrison was a 19th-century British aristocrat known primarily as the wife of Philip Henry Stanhope, 5th Earl Stanhope.
  • C. Moria Campbell
    Moria Campbell is a British ceremonial official who serves as the monarch’s representative in West Lothian, Scotland.
  • D. Fiona Campbell-Walter
    Fiona Campbell-Walter is a New Zealand-born former fashion model and socialite who became a European baroness through her marriage into the wealthy Thyssen-Bornemisza family.
  • E. Cheryl Morgan
    Cheryl Morgan is a prominent science fiction fan writer and critic recognized for her influential contributions to fandom and genre discourse.
  • 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: Anne Iddon
Triple: [Edward Hardwicke, spouse, Anne Iddon]
Generated description
Anne Iddon was the wife of English actor Edward Hardwicke, known for her connection to his long career in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne Iddon
Target entity description: Anne Iddon was the wife of English actor Edward Hardwicke, known for her connection to his long career in film, television, and theatre.
  • A. Heather Liddell
    Heather Liddell is the daughter of Australian radio and electronics pioneer Florence Violet McKenzie.
  • B. Emily Harriet Kerrison
    Emily Harriet Kerrison was a 19th-century British aristocrat known primarily as the wife of Philip Henry Stanhope, 5th Earl Stanhope.
  • C. Moria Campbell
    Moria Campbell is a British ceremonial official who serves as the monarch’s representative in West Lothian, Scotland.
  • D. Fiona Campbell-Walter
    Fiona Campbell-Walter is a New Zealand-born former fashion model and socialite who became a European baroness through her marriage into the wealthy Thyssen-Bornemisza family.
  • E. Cheryl Morgan
    Cheryl Morgan is a prominent science fiction fan writer and critic recognized for her influential contributions to fandom and genre discourse.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd5020e6f081909686fe3d143d31fa completed May 8, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd50c2cdb48190a438dc0641e3c25e completed May 8, 2026, 2:56 a.m.
Created at: April 10, 2026, 1:15 a.m.