Triple

T15499030
Position Surface form Disambiguated ID Type / Status
Subject Kenneth More E378899 entity
Predicate spouse P13 FINISHED
Object Mary Baring
Mary Baring was the wife of British film and stage actor Kenneth More, associated with his mid-20th-century personal life and career.
E1160096 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: Mary Baring | Statement: [Kenneth More, spouse, Mary Baring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Baring
Context triple: [Kenneth More, spouse, Mary Baring]
  • A. Mary Bland
    Mary Bland was a member of the prominent Virginia Bland family and the mother of Revolutionary-era planter and politician Henry Lee II.
  • B. Mary Burt
    Mary Burt was the wife of Prussian field marshal Helmuth von Moltke the Elder, noted primarily for her role within his family and social circle.
  • C. Barbara Jennings
    Barbara Jennings is the daughter of Richard Jennings.
  • D. Mary Tavy
    Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
  • E. Mary Shepherd
    Mary Shepherd was a British philosopher known for her early 19th-century work on causation and metaphysics, which challenged the ideas of David Hume.
  • 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: Mary Baring
Triple: [Kenneth More, spouse, Mary Baring]
Generated description
Mary Baring was the wife of British film and stage actor Kenneth More, associated with his mid-20th-century personal life and career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Baring
Target entity description: Mary Baring was the wife of British film and stage actor Kenneth More, associated with his mid-20th-century personal life and career.
  • A. Mary Bland
    Mary Bland was a member of the prominent Virginia Bland family and the mother of Revolutionary-era planter and politician Henry Lee II.
  • B. Mary Burt
    Mary Burt was the wife of Prussian field marshal Helmuth von Moltke the Elder, noted primarily for her role within his family and social circle.
  • C. Barbara Jennings
    Barbara Jennings is the daughter of Richard Jennings.
  • D. Mary Tavy
    Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
  • E. Mary Shepherd
    Mary Shepherd was a British philosopher known for her early 19th-century work on causation and metaphysics, which challenged the ideas of David Hume.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff3744ba8c81909989864ba107b93b completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37ee94b081909309062b2d30ede5 completed May 9, 2026, 1:34 p.m.
Created at: April 10, 2026, 3:53 a.m.