Triple

T9197527
Position Surface form Disambiguated ID Type / Status
Subject Hilda Geiringer E220753 entity
Predicate familyName P18 FINISHED
Object Geiringer
Geiringer is a surname most notably associated with Hilda Geiringer, an Austrian-American mathematician known for her contributions to applied mathematics and probability theory.
 E784071 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: Geiringer | Statement: [Hilda Geiringer, familyName, Geiringer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geiringer
Context triple: [Hilda Geiringer, familyName, Geiringer]
  • A. Khinchin
    Khinchin is a Russian surname most notably associated with Aleksandr Khinchin, a prominent mathematician known for his contributions to probability theory and number theory.
  • B. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • C. Bickel
    Bickel is the family name of the American actor Fredric March, a prominent star of classic Hollywood cinema.
  • D. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • E. Paepcke
    Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
  • 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: Geiringer
Triple: [Hilda Geiringer, familyName, Geiringer]
Generated description
Geiringer is a surname most notably associated with Hilda Geiringer, an Austrian-American mathematician known for her contributions to applied mathematics and probability theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geiringer
Target entity description: Geiringer is a surname most notably associated with Hilda Geiringer, an Austrian-American mathematician known for her contributions to applied mathematics and probability theory.
  • A. Khinchin
    Khinchin is a Russian surname most notably associated with Aleksandr Khinchin, a prominent mathematician known for his contributions to probability theory and number theory.
  • B. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • C. Bickel
    Bickel is the family name of the American actor Fredric March, a prominent star of classic Hollywood cinema.
  • D. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • E. Paepcke
    Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87f50e88190940e73af1deda747 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c3b1af48190bb03af15232c510d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cfb7058819080d80b7f28125199 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05d91ad4c8190a45db7484b9f058a completed April 4, 2026, 12:38 a.m.
Created at: March 30, 2026, 7:25 p.m.