Triple

T14615116
Position Surface form Disambiguated ID Type / Status
Subject Berthold E343063 entity
Predicate hasGivenNameOrigin P3325 FINISHED
Object Berthold (given name) E516971 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: Berthold (given name) | Statement: [Berthold, hasGivenNameOrigin, Berthold (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berthold (given name)
Context triple: [Berthold, hasGivenNameOrigin, Berthold (given name)]
  • A. Berthold chosen
    Berthold is a masculine given name of Germanic origin historically borne by various nobles and rulers in Central Europe.
  • B. Berthold
    Berthold is the family name of American comedian and actress Kate McKinnon, known for her work on Saturday Night Live.
  • C. Gebhard
    Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
  • D. Bartholomaeus
    Bartholomaeus is a Latin given name of biblical origin that serves as the root form for various later names such as Bartolomeo.
  • E. Bernhard of Lippe-Biesterfeld
    Bernhard of Lippe-Biesterfeld was the German-born prince who became the consort of Queen Juliana of the Netherlands and played a prominent role in Dutch public life in the mid-20th century.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.