Triple

T20585376
Position Surface form Disambiguated ID Type / Status
Subject Ivar Fredholm E505771 entity
Predicate givenName P17 FINISHED
Object Ivar 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: Ivar | Statement: [Ivar Fredholm, givenName, Ivar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivar
Context triple: [Ivar Fredholm, givenName, Ivar]
  • A. Ivar chosen
    Ivar is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
  • B. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • C. Eyvind
    Eyvind is a masculine given name of Old Norse origin, historically associated with Scandinavian culture and borne by figures such as the American artist Eyvind Earle.
  • D. Ivar the Boneless
    Ivar the Boneless was a legendary 9th-century Viking leader and commander of the Great Heathen Army, renowned for his military prowess and feared across Anglo-Saxon England.
  • E. Halvdan
    Halvdan is a masculine given name of Scandinavian origin, historically borne by several notable Norwegian figures.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a976bca4819086a4949e299159b5 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.