Triple

T3438777
Position Surface form Disambiguated ID Type / Status
Subject siege of Paris (845) E72518 entity
Predicate commander P1061 FINISHED
Object Ragnar E143680 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: Ragnar | Statement: [siege of Paris (845), commander, Ragnar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragnar
Context triple: [siege of Paris (845), commander, Ragnar]
  • A. Ragnar chosen
    Ragnar is a masculine given name of Old Norse origin, historically associated with Viking-age Scandinavia and later borne by various notable figures.
  • B. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • C. Tyr
    Tyr is a Norse god associated primarily with law, justice, and heroic courage, famously known for sacrificing his hand to the wolf Fenrir.
  • D. Raginmund
    Raginmund is a Germanic personal name of early medieval origin that later evolved into forms such as the Spanish given name Ramón.
  • E. Týr
    Týr is a Norse god associated with law, justice, and heroic glory, best known for sacrificing his hand to bind the monstrous wolf Fenrir.
  • 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_69adb9f6de1481909b789f4b0e1113d3 completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35483d0488190b6a4bd2ed65f78d3 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.