Triple

T15843925
Position Surface form Disambiguated ID Type / Status
Subject Kadya Molodowsky E384166 entity
Predicate notableWork P4 FINISHED
Object Froyen-lider
Froyen-lider is a notable Yiddish poetry collection by Kadya Molodowsky that focuses on women’s lives and experiences.
E1179778 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: Froyen-lider | Statement: [Kadya Molodowsky, notableWork, Froyen-lider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Froyen-lider
Context triple: [Kadya Molodowsky, notableWork, Froyen-lider]
  • A. Lindstrøm
    Lindstrøm is a Norwegian surname most notably associated with polar explorer and cook Adolf Henrik Lindstrøm, who took part in several major Arctic and Antarctic expeditions.
  • B. Friedrichsen
    Friedrichsen is a German-language surname, typically a patronymic meaning "son of Friedrich."
  • C. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • D. Halsema
    Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
  • E. Verhofstadt
    Verhofstadt is the surname of Guy Verhofstadt, a prominent Belgian liberal politician and former Prime Minister of Belgium.
  • 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: Froyen-lider
Triple: [Kadya Molodowsky, notableWork, Froyen-lider]
Generated description
Froyen-lider is a notable Yiddish poetry collection by Kadya Molodowsky that focuses on women’s lives and experiences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Froyen-lider
Target entity description: Froyen-lider is a notable Yiddish poetry collection by Kadya Molodowsky that focuses on women’s lives and experiences.
  • A. Lindstrøm
    Lindstrøm is a Norwegian surname most notably associated with polar explorer and cook Adolf Henrik Lindstrøm, who took part in several major Arctic and Antarctic expeditions.
  • B. Friedrichsen
    Friedrichsen is a German-language surname, typically a patronymic meaning "son of Friedrich."
  • C. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • D. Halsema
    Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
  • E. Verhofstadt
    Verhofstadt is the surname of Guy Verhofstadt, a prominent Belgian liberal politician and former Prime Minister of Belgium.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142ea3da08190a9d2d5917f84907c completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa1412c9481909808473e14058033 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.