Triple

T11368755
Position Surface form Disambiguated ID Type / Status
Subject Bärbel Wöckel E269284 entity
Predicate givenName P17 FINISHED
Object Bärbel E47273 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: Bärbel | Statement: [Bärbel Wöckel, givenName, Bärbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bärbel
Context triple: [Bärbel Wöckel, givenName, Bärbel]
  • A. Bärbel chosen
    Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
  • B. Bärbel Wachholz
    Bärbel Wachholz was a popular East German schlager singer of the 1950s and 1960s, known for her hit songs and widespread acclaim in the GDR.
  • C. Bärbel Bohley
    Bärbel Bohley was a prominent East German civil rights activist and painter who became a leading figure in the peaceful opposition to the GDR regime and the 1989 democratic revolution.
  • D. Helga Meyer
    Helga Meyer was a German opera singer and voice teacher best known as the mother of actress Sandra Bullock.
  • E. Marie-Luise Kiesinger
    Marie-Luise Kiesinger was the wife of former West German Chancellor Kurt Georg Kiesinger and served as Germany’s First Lady during his term in office.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bdaabd48190ab533c1c7f3b5fd8 completed April 20, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:33 p.m.