Triple

T4861900
Position Surface form Disambiguated ID Type / Status
Subject Elfriede Jelinek E108679 entity
Predicate familyName P18 FINISHED
Object Jelinek E341570 NE FINISHED

How this triple was built (2 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: Jelinek | Statement: [Elfriede Jelinek, familyName, Jelinek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jelinek
Context triple: [Elfriede Jelinek, familyName, Jelinek]
  • A. Jelinek chosen
    Jelinek is a surname most prominently associated with W. Craig Jelinek, the longtime CEO of Costco Wholesale Corporation.
  • B. Lenka Peterson
    Lenka Peterson was an American stage, film, and television actress known for her versatile character roles from the mid-20th century onward.
  • C. Cornelia Srebnick
    Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
  • D. Fischerová
    Fischerová is a Czech feminine surname derived from the German surname Fischer, commonly borne by women in Czech-speaking regions.
  • E. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5f62b48190b367ed1b850cfbcb completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf921cc8190a092bb69c1981890 completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.