Triple

T20231898
Position Surface form Disambiguated ID Type / Status
Subject Baxters E495545 entity
Predicate foundedBy P104 FINISHED
Object Margaret Baxter
Margaret Baxter is an entrepreneur best known as the founder of the Baxters food company.
E1567535 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: Margaret Baxter | Statement: [Baxters, foundedBy, Margaret Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Baxter
Context triple: [Baxters, foundedBy, Margaret Baxter]
  • A. Margaret Alexander
    Margaret Alexander is the devout, domineering pastor and central figure in James Baldwin’s play *The Amen Corner*, whose personal struggles and family conflicts drive the drama’s exploration of faith and hypocrisy.
  • B. Margaret Alexander
    Margaret Alexander is an individual known primarily as the spouse of someone named Luke.
  • C. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • D. Margaret Preston
    Margaret Preston was a pioneering Australian modernist painter and printmaker renowned for her bold depictions of native flora and her influential role in shaping early 20th-century Australian art.
  • E. Margaret Matheson
    Margaret Matheson is a British film and television producer known for her work on influential and socially conscious dramas.
  • 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: Margaret Baxter
Triple: [Baxters, foundedBy, Margaret Baxter]
Generated description
Margaret Baxter is an entrepreneur best known as the founder of the Baxters food company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret Baxter
Target entity description: Margaret Baxter is an entrepreneur best known as the founder of the Baxters food company.
  • A. Margaret Alexander
    Margaret Alexander is the devout, domineering pastor and central figure in James Baldwin’s play *The Amen Corner*, whose personal struggles and family conflicts drive the drama’s exploration of faith and hypocrisy.
  • B. Margaret Alexander
    Margaret Alexander is an individual known primarily as the spouse of someone named Luke.
  • C. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • D. Margaret Preston
    Margaret Preston was a pioneering Australian modernist painter and printmaker renowned for her bold depictions of native flora and her influential role in shaping early 20th-century Australian art.
  • E. Margaret Matheson
    Margaret Matheson is a British film and television producer known for her work on influential and socially conscious dramas.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0abaf1088190a67d04a4a2482225 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0b5c43748190b209e13ce8aa0bdb completed May 19, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0bb05de481909b343f4105e5f4cc completed May 19, 2026, 7:05 a.m.
Created at: April 11, 2026, 11:39 p.m.