Triple

T3090445
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Marx E64467 entity
Predicate mother P120 FINISHED
Object Eva Moses Lwow
Eva Moses Lwow was the mother of Heinrich Marx and a member of the extended family of Karl Marx.
 E325363 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: Eva Moses Lwow | Statement: [Heinrich Marx, mother, Eva Moses Lwow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eva Moses Lwow
Context triple: [Heinrich Marx, mother, Eva Moses Lwow]
  • A. Maryla Husyt Finkelstein
    Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
  • B. Miriam Mendelsohn
    Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
  • C. Helene Shapiro
    Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
  • D. Fayga Ostrower
    Fayga Ostrower was a prominent Polish-born Brazilian artist, engraver, and art theorist known for her abstract works and influential writings on art and creativity.
  • E. Marion Wiesel
    Marion Wiesel is a translator, editor, and activist best known for translating many of Elie Wiesel’s works and for her involvement in Holocaust remembrance and human rights causes.
  • 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: Eva Moses Lwow
Triple: [Heinrich Marx, mother, Eva Moses Lwow]
Generated description
Eva Moses Lwow was the mother of Heinrich Marx and a member of the extended family of Karl Marx.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eva Moses Lwow
Target entity description: Eva Moses Lwow was the mother of Heinrich Marx and a member of the extended family of Karl Marx.
  • A. Maryla Husyt Finkelstein
    Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
  • B. Miriam Mendelsohn
    Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
  • C. Helene Shapiro
    Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
  • D. Fayga Ostrower
    Fayga Ostrower was a prominent Polish-born Brazilian artist, engraver, and art theorist known for her abstract works and influential writings on art and creativity.
  • E. Marion Wiesel
    Marion Wiesel is a translator, editor, and activist best known for translating many of Elie Wiesel’s works and for her involvement in Holocaust remembrance and human rights causes.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a6fe2081909e2bf9ee5629f017 completed March 11, 2026, 11:20 p.m.
NEDg Description generation batch_69b1f94a05608190bc163a6950586ff9 completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9ad0b148190b98f93699598dd1e completed March 11, 2026, 11:24 p.m.
Created at: March 8, 2026, 3:03 p.m.