Triple

T14945837
Position Surface form Disambiguated ID Type / Status
Subject Hirschmann E372655 entity
Predicate hasNotableBearer P458 FINISHED
Object Maria Hirschmann
Maria Hirschmann is a notable individual recognized for bearing the surname Hirschmann.
E1140422 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: Maria Hirschmann | Statement: [Hirschmann, hasNotableBearer, Maria Hirschmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Hirschmann
Context triple: [Hirschmann, hasNotableBearer, Maria Hirschmann]
  • A. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • B. Christa Buschendorf
    Christa Buschendorf is a scholar and co-author known for her work on African American intellectual and political thought, including the book "Black Prophetic Fire."
  • C. Rosa Markmann
    Rosa Markmann was a Chilean First Lady and public figure known for her role alongside President Gabriel González Videla and her social and charitable work.
  • D. Therese Hoffmann
    Therese Hoffmann was the mother of Henriette von Schirach, a German woman known for her close association with the Nazi leadership through her marriage to Baldur von Schirach.
  • E. Judith Holzmeister
    Judith Holzmeister was an Austrian stage and film actress known for her prominent work at Vienna’s Burgtheater in the mid-20th century.
  • 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: Maria Hirschmann
Triple: [Hirschmann, hasNotableBearer, Maria Hirschmann]
Generated description
Maria Hirschmann is a notable individual recognized for bearing the surname Hirschmann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria Hirschmann
Target entity description: Maria Hirschmann is a notable individual recognized for bearing the surname Hirschmann.
  • A. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • B. Christa Buschendorf
    Christa Buschendorf is a scholar and co-author known for her work on African American intellectual and political thought, including the book "Black Prophetic Fire."
  • C. Rosa Markmann
    Rosa Markmann was a Chilean First Lady and public figure known for her role alongside President Gabriel González Videla and her social and charitable work.
  • D. Therese Hoffmann
    Therese Hoffmann was the mother of Henriette von Schirach, a German woman known for her close association with the Nazi leadership through her marriage to Baldur von Schirach.
  • E. Judith Holzmeister
    Judith Holzmeister was an Austrian stage and film actress known for her prominent work at Vienna’s Burgtheater in the mid-20th century.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfd3ebd08190a2b7c70c2ba6deb3 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec08c37dc8190a59289e4ee76beab completed May 9, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fec10cd2d48190ba96885ca604a853 completed May 9, 2026, 5:07 a.m.
Created at: April 10, 2026, 2:39 a.m.