Triple

T5899701
Position Surface form Disambiguated ID Type / Status
Subject Ingeborg E131189 entity
Predicate hasCognate P2525 FINISHED
Object Ingeborg (Danish form) E131189 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: Ingeborg (Danish form) | Statement: [Ingeborg, hasCognate, Ingeborg (Danish form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingeborg (Danish form)
Context triple: [Ingeborg, hasCognate, Ingeborg (Danish form)]
  • A. Ingeborg chosen
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Princess Ingeborg of Denmark
    Princess Ingeborg of Denmark was a Danish royal who became Princess of Sweden through marriage to Prince Carl, Duke of Västergötland, and was known for her popular and modern approach to royal life in the early 20th century.
  • C. Inge
    Inge is a given name of Germanic origin used in various European countries for both males and females.
  • D. Inga of Varteig
    Inga of Varteig was a Norwegian woman known primarily as the mother of King Haakon IV of Norway, whose contested paternity and rise to the throne were central to the Norwegian civil wars.
  • E. Fredricka Inger
    Fredricka Inger is best known as the wife of British comedian and actor Norman Wisdom.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0373320cc8190bfdb2b09236f55a5 completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b15df86481908b59717b9de63655 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.