Triple

T9395093
Position Surface form Disambiguated ID Type / Status
Subject Katharine Graham E226122 entity
Predicate mother P120 FINISHED
Object Agnes Ernst Meyer
Agnes Ernst Meyer was an American journalist, philanthropist, and influential social reform advocate who played a significant role in education and civil rights debates in the mid-20th century.
 E796609 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: Agnes Ernst Meyer | Statement: [Katharine Graham, mother, Agnes Ernst Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agnes Ernst Meyer
Context triple: [Katharine Graham, mother, Agnes Ernst Meyer]
  • A. Marie Meyer
    Marie Meyer was the wife of the prominent German historian Eduard Meyer.
  • B. Marie Reimer
    Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
  • C. Christiane Georgine Heger
    Christiane Georgine Heger was the wife of Danish Romantic poet and playwright Adam Oehlenschläger and a figure within early 19th-century Danish literary circles.
  • D. Irene Schönbein
    Irene Schönbein was the wife of Nazi physician and Auschwitz camp doctor Josef Mengele.
  • E. Margarete Gebhardt
    Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
  • 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: Agnes Ernst Meyer
Triple: [Katharine Graham, mother, Agnes Ernst Meyer]
Generated description
Agnes Ernst Meyer was an American journalist, philanthropist, and influential social reform advocate who played a significant role in education and civil rights debates in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agnes Ernst Meyer
Target entity description: Agnes Ernst Meyer was an American journalist, philanthropist, and influential social reform advocate who played a significant role in education and civil rights debates in the mid-20th century.
  • A. Marie Meyer
    Marie Meyer was the wife of the prominent German historian Eduard Meyer.
  • B. Marie Reimer
    Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
  • C. Christiane Georgine Heger
    Christiane Georgine Heger was the wife of Danish Romantic poet and playwright Adam Oehlenschläger and a figure within early 19th-century Danish literary circles.
  • D. Irene Schönbein
    Irene Schönbein was the wife of Nazi physician and Auschwitz camp doctor Josef Mengele.
  • E. Margarete Gebhardt
    Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5112faa08190a8dd2c461d1e7a14 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10114e4d08190b4f465f9e56f9ffd completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d1026e6790819094e0573b7a775ebd completed April 4, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_69d103365c9881909b458d4204a148c5 completed April 4, 2026, 12:25 p.m.
Created at: March 30, 2026, 7:45 p.m.