Triple

T14578102
Position Surface form Disambiguated ID Type / Status
Subject Michael Hainisch E342110 entity
Predicate mother P120 FINISHED
Object Marianne Hainisch
Marianne Hainisch was a prominent Austrian women's rights activist and a leading figure in the early feminist and suffrage movements in Austria.
E1125163 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: Marianne Hainisch | Statement: [Michael Hainisch, mother, Marianne Hainisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Hainisch
Context triple: [Michael Hainisch, mother, Marianne Hainisch]
  • A. Marianne Willisch
    Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
  • B. Marianne Sägebrecht
    Marianne Sägebrecht is a German actress known for her distinctive character roles in films such as "Sugarbaby" and "Bagdad Café."
  • C. Marianne Koch
    Marianne Koch is a German actress and television host best known internationally for her role in Sergio Leone’s classic Spaghetti Western "A Fistful of Dollars."
  • D. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • E. Marianne Busch
    Marianne Busch was the first wife of American psychologist and counterculture icon Timothy Leary, with whom she shared his early academic and personal life before his rise to prominence in the 1960s.
  • 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: Marianne Hainisch
Triple: [Michael Hainisch, mother, Marianne Hainisch]
Generated description
Marianne Hainisch was a prominent Austrian women's rights activist and a leading figure in the early feminist and suffrage movements in Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marianne Hainisch
Target entity description: Marianne Hainisch was a prominent Austrian women's rights activist and a leading figure in the early feminist and suffrage movements in Austria.
  • A. Marianne Willisch
    Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
  • B. Marianne Sägebrecht
    Marianne Sägebrecht is a German actress known for her distinctive character roles in films such as "Sugarbaby" and "Bagdad Café."
  • C. Marianne Koch
    Marianne Koch is a German actress and television host best known internationally for her role in Sergio Leone’s classic Spaghetti Western "A Fistful of Dollars."
  • D. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • E. Marianne Busch
    Marianne Busch was the first wife of American psychologist and counterculture icon Timothy Leary, with whom she shared his early academic and personal life before his rise to prominence in the 1960s.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3da8f08190b70b08532dfc22ba completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6ca6ac348190a6cad17523489561 completed May 8, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe6de49480819087b36c070c434bf7 completed May 8, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:24 a.m.