Triple

T18832956
Position Surface form Disambiguated ID Type / Status
Subject Cecilie Brahe E460580 entity
Predicate givenName P17 FINISHED
Object Cecilie NE NERFINISHED

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: Cecilie | Statement: [Cecilie Brahe, givenName, Cecilie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecilie
Context triple: [Cecilie Brahe, givenName, Cecilie]
  • A. Cecilie chosen
    Cecilie is a feminine given name, commonly used in Scandinavian countries, that is a variant of the name Cecilia.
  • B. Karoline
    Karoline is a feminine given name, commonly used in various European countries, that is a variant spelling of Caroline.
  • C. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • D. Ulrike
    Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
  • E. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99b540c8190a29e5f9d56791d41 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.