Triple

T20239660
Position Surface form Disambiguated ID Type / Status
Subject Regina Becker E498247 entity
Predicate name P16 FINISHED
Object Regina Becker NE NERFINISHED

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: Regina Becker | Statement: [Regina Becker, name, Regina Becker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regina Becker
Context triple: [Regina Becker, name, Regina Becker]
  • A. Regina Becker chosen
    Regina Becker is a person notable enough to be recognized as a bearer of the surname Becker, though specific widely known biographical details are not clearly established.
  • B. Katrin Brenner
    Katrin Brenner is a German local politician who serves as the mayor of the town of Sundern in North Rhine-Westphalia.
  • C. Britta Heidemann
    Britta Heidemann is a German épée fencer and Olympic champion, renowned for winning gold at the 2008 Beijing Games and multiple World and European titles.
  • D. Ingrid Guenther
    Ingrid Guenther, better known as Ingrid Pitt, was a Polish-British actress famed for her roles in classic horror films, particularly with Hammer Film Productions in the 1970s.
  • E. Verena Becker
    Verena Becker is a former member of the German left-wing militant group Movement 2 June, known for her involvement in political violence and subsequent legal proceedings in the 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716dd0b081909d4063150cdc0c02 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.