Triple

T7007806
Position Surface form Disambiguated ID Type / Status
Subject Henry Daniell E162500 entity
Predicate spouse P13 FINISHED
Object Ann Knox
Ann Knox was the wife of British actor Henry Daniell, known for his numerous film and stage roles in the early to mid-20th century.
E635790 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: Ann Knox | Statement: [Henry Daniell, spouse, Ann Knox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Knox
Context triple: [Henry Daniell, spouse, Ann Knox]
  • A. Patricia Knox
    Patricia Knox is a person notable enough to be recognized as a bearer of the surname Knox.
  • B. Katherine Kelly
    Katherine Kelly is a British actress best known for her roles in television dramas such as "Coronation Street" and "Mr Selfridge."
  • C. Kathryn Kelly
    Kathryn Kelly was an American criminal best known for partnering with her husband, gangster George "Machine Gun" Kelly, in high-profile kidnappings during the early 1930s.
  • D. Valerie Logue
    Valerie Logue is an individual known primarily as the sibling of Antony Logue.
  • E. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • 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: Ann Knox
Triple: [Henry Daniell, spouse, Ann Knox]
Generated description
Ann Knox was the wife of British actor Henry Daniell, known for his numerous film and stage roles in the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ann Knox
Target entity description: Ann Knox was the wife of British actor Henry Daniell, known for his numerous film and stage roles in the early to mid-20th century.
  • A. Patricia Knox
    Patricia Knox is a person notable enough to be recognized as a bearer of the surname Knox.
  • B. Katherine Kelly
    Katherine Kelly is a British actress best known for her roles in television dramas such as "Coronation Street" and "Mr Selfridge."
  • C. Kathryn Kelly
    Kathryn Kelly was an American criminal best known for partnering with her husband, gangster George "Machine Gun" Kelly, in high-profile kidnappings during the early 1930s.
  • D. Valerie Logue
    Valerie Logue is an individual known primarily as the sibling of Antony Logue.
  • E. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc36e3fc8190957445132a9ffb5f completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a43c3a081909b9150d36ba107f5 completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b3c87708190a04c48c41bb9904b completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76bb8c7788190bf54b805f651e28e completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:33 p.m.