Triple

T1444071
Position Surface form Disambiguated ID Type / Status
Subject Joachim Gauck E31137 entity
Predicate name P16 FINISHED
Object Joachim Gauck E31137 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: Joachim Gauck | Statement: [Joachim Gauck, name, Joachim Gauck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim Gauck
Context triple: [Joachim Gauck, name, Joachim Gauck]
  • A. Joachim Gauck chosen
    Joachim Gauck is a German Protestant pastor, former civil rights activist in East Germany, and the 11th President of Germany, serving from 2012 to 2017.
  • B. Frank-Walter Steinmeier
    Frank-Walter Steinmeier is a German politician and diplomat who has served as the President of Germany since 2017 and was previously the country’s foreign minister.
  • C. Roman Herzog
    Roman Herzog was a German jurist and politician who served as President of Germany from 1994 to 1999.
  • D. Thomas Kretschmann
    Thomas Kretschmann is a German actor known for his frequent roles in war and historical films, including notable performances in "The Pianist," "Downfall," and "King Kong."
  • E. Peter Kohl
    Peter Kohl is a German businessman and author best known as the son of former German Chancellor Helmut Kohl.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5353fdc819090481cbdd1162929 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c046b08190a448ba2549dc5e00 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.