Triple

T9214369
Position Surface form Disambiguated ID Type / Status
Subject Konrad Meyer-Hetling E221205 entity
Predicate givenName P17 FINISHED
Object Konrad E60724 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: Konrad | Statement: [Konrad Meyer-Hetling, givenName, Konrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konrad
Context triple: [Konrad Meyer-Hetling, givenName, Konrad]
  • A. Konrad chosen
    Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
  • B. Conrad the Peaceful
    Conrad the Peaceful was a 10th-century King of Burgundy who later became King of Italy and Holy Roman Emperor, noted for his relatively tranquil and conciliatory reign.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • E. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda06bf80819094c6e74b4b6a31e4 completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d06613daf88190a0128fd53ea1b134 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.