Triple

T14936786
Position Surface form Disambiguated ID Type / Status
Subject Máni E372415 entity
Predicate mentionedIn P831 FINISHED
Object Vafþrúðnismál E359854 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: Vafþrúðnismál | Statement: [Máni, mentionedIn, Vafþrúðnismál]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vafþrúðnismál
Context triple: [Máni, mentionedIn, Vafþrúðnismál]
  • A. Vafþrúðnismál chosen
    Vafþrúðnismál is an Old Norse mythological poem in the Poetic Edda that recounts a wisdom contest between the god Odin and the giant Vafþrúðnir.
  • B. Alvíssmál
    Alvíssmál is an Old Norse Eddic poem in which the dwarf Alvíss engages in a wisdom contest with Thor, revealing extensive mythological lore through question-and-answer dialogue.
  • C. Grímnismál
    Grímnismál is an Old Norse mythological poem in which Odin, disguised and tortured, reveals extensive cosmological and divine lore.
  • D. Þrymskviða
    Þrymskviða is an Old Norse mythological poem best known for its humorous tale of the giant Þrymr stealing Thor’s hammer and Thor disguising himself as the goddess Freyja to retrieve it.
  • E. Fjölsvinnsmál
    Fjölsvinnsmál is an Old Norse Eddic poem in dialogue form, notable for its mythological content and complex riddling structure.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64904d88190b6b4140da8e8199d completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2d21348190a8045cf1847396e0 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 2:37 a.m.