Triple

T18816498
Position Surface form Disambiguated ID Type / Status
Subject Ludvig Holberg E460148 entity
Predicate givenName P17 FINISHED
Object Ludvig 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: Ludvig | Statement: [Ludvig Holberg, givenName, Ludvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludvig
Context triple: [Ludvig Holberg, givenName, Ludvig]
  • A. Ludvig chosen
    Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
  • B. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • C. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • D. Ludvig Holstein
    Ludvig Holstein was a Danish poet and writer associated with the late 19th-century Modern Breakthrough movement in Denmark.
  • E. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • 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_69e5a6b620248190afa21a6ce61e2cff completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.