Triple

T7284290
Position Surface form Disambiguated ID Type / Status
Subject Order of Merit of North Rhine-Westphalia E163827 entity
Predicate hasRecipient P108 FINISHED
Object Roman Herzog E30668 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: Roman Herzog | Statement: [Order of Merit of North Rhine-Westphalia, hasRecipient, Roman Herzog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Herzog
Context triple: [Order of Merit of North Rhine-Westphalia, hasRecipient, Roman Herzog]
  • A. Roman Herzog chosen
    Roman Herzog was a German jurist and politician who served as President of Germany from 1994 to 1999.
  • B. Andreas von Weizsäcker
    Andreas von Weizsäcker was a German sculptor and member of the prominent von Weizsäcker family.
  • C. Siegfried Kohl
    Siegfried Kohl is an individual notable for bearing the German surname "Kohl," which is associated with several prominent figures.
  • D. Ernst von Weizsäcker
    Ernst von Weizsäcker was a German diplomat who served as State Secretary in the Foreign Office under the Nazi regime and was later convicted for his role in its policies at the post-World War II Ministries Trial.
  • E. Fritz von Weizsäcker
    Fritz von Weizsäcker was a German physician and professor of internal medicine who served as chief physician at Berlin’s Schlosspark-Klinik and was tragically killed during a public lecture in 2019.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb5071ec8190806f2e3e3bea06c7 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3e1fd081908457b8202c43f64f completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.