Triple

T3441867
Position Surface form Disambiguated ID Type / Status
Subject Valkyries E72582 entity
Predicate appearIn P795 FINISHED
Object Sagas E15959 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: Sagas | Statement: [Valkyries, appearIn, Sagas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagas
Context triple: [Valkyries, appearIn, Sagas]
  • A. The Viking Saga
    The Viking Saga is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a historical adventure narrative about Vikings.
  • B. Norse sagas chosen
    Norse sagas are medieval Icelandic prose narratives that recount the legendary heroes, gods, and historical events of the Norse and wider Scandinavian world.
  • C. Edda
    Edda is an Italian given name most notably borne by Edda Mussolini, the eldest daughter of dictator Benito Mussolini.
  • D. Nart sagas
    The Nart sagas are a cycle of heroic epic tales from the Caucasus region, especially among the Ossetians, recounting the adventures, battles, and moral dilemmas of a legendary clan of warriors and demigods.
  • E. Saga
    Saga is a critically acclaimed science fiction/fantasy comic series by Brian K. Vaughan and Fiona Staples, renowned for its genre-blending storytelling, mature themes, and distinctive artwork.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba276b708190949f294a8d09ec7b completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35486f7a08190885e98bb89e74f15 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.