Triple

T15200065
Position Surface form Disambiguated ID Type / Status
Subject Reinhart E363243 entity
Predicate hasVariant P455 FINISHED
Object Reinhard E74166 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: Reinhard | Statement: [Reinhart, hasVariant, Reinhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinhard
Context triple: [Reinhart, hasVariant, Reinhard]
  • A. Reinhard chosen
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • B. Eckhard
    Eckhard is a masculine given name of German origin, commonly used in German-speaking countries.
  • C. Helmuth
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • D. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • E. Reimund
    Reimund is a masculine given name, primarily used in German-speaking regions, that is a variant of the name Raymond.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b588b88190a88e91d521acbdfe completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2dc6f08190a8f1612ac29a8654 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:10 a.m.