Triple

T5746376
Position Surface form Disambiguated ID Type / Status
Subject Alexander Kielland E126742 entity
Predicate notableWork P4 FINISHED
Object Fortuna E58319 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: Fortuna | Statement: [Alexander Kielland, notableWork, Fortuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortuna
Context triple: [Alexander Kielland, notableWork, Fortuna]
  • A. Tyche chosen
    Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
  • B. Felicitas
    Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
  • C. Fortune
    Fortune is the surname of E. Charlton Fortune, an American painter known for her Impressionist and modernist works, particularly coastal scenes of California.
  • D. Fortune
    Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
  • E. Erinys
    Erinys is an epithet of the Greek goddess Demeter emphasizing her wrathful, vengeful aspect, particularly in myths involving the abduction of her daughter Persephone.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025896378819085f0bd43bf34f497 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2c54c0819087ab79ae855b9677 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.