Triple

T5036242
Position Surface form Disambiguated ID Type / Status
Subject Bernhardt Line E113429 entity
Predicate namedAfter P63 FINISHED
Object Bernhard E38564 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: Bernhard | Statement: [Bernhardt Line, namedAfter, Bernhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernhard
Context triple: [Bernhardt Line, namedAfter, Bernhard]
  • A. Bernhard chosen
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • B. Bernharda
    Bernharda is a feminine given name, primarily used in Central and Eastern Europe, derived from the masculine name Bernhard.
  • C. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b9ad488190a2a8c4da8858eb91 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c79265081908512b39cc74161f8 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.