Triple

T12045209
Position Surface form Disambiguated ID Type / Status
Subject Benedikt Carpzov the Elder E286766 entity
Predicate givenName P17 FINISHED
Object Benedikt E42638 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: Benedikt | Statement: [Benedikt Carpzov the Elder, givenName, Benedikt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedikt
Context triple: [Benedikt Carpzov the Elder, givenName, Benedikt]
  • A. Benedetto
    Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
  • B. Norbertus
    Norbertus is a Latinized form of the given name Norbert, historically used in ecclesiastical and scholarly contexts.
  • C. Benedict chosen
    Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
  • 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. Joachim
    Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9041fe3b0819094b82a6b17ac59c3 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49db574bc8190a0f2f858a2ff788d completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.