Triple

T11930089
Position Surface form Disambiguated ID Type / Status
Subject Ludvig E283887 entity
Predicate hasRelatedName P3889 FINISHED
Object Ludvig E283887 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: Ludvig | Statement: [Ludvig, hasRelatedName, Ludvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludvig
Context triple: [Ludvig, hasRelatedName, 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 (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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4406ee910819093c72738bfe3f92c completed May 1, 2026, 5:55 a.m.
Created at: April 8, 2026, 9:45 p.m.