Triple

T3551468
Position Surface form Disambiguated ID Type / Status
Subject Fenrir E75119 entity
Predicate otherNames P39 FINISHED
Object Fenris Wolf E75119 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: Fenris Wolf | Statement: [Fenrir, otherNames, Fenris Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenris Wolf
Context triple: [Fenrir, otherNames, Fenris Wolf]
  • A. Fenrir chosen
    Fenrir is a monstrous wolf in Norse mythology prophesied to kill the god Odin during Ragnarök.
  • B. Sköll
    Sköll is a wolf from Norse mythology who chases the sun across the sky and is fated to devour it at Ragnarök.
  • C. Níðhöggr
    Níðhöggr is a fearsome dragon or serpent from Norse mythology that gnaws at the roots of the world tree Yggdrasil and is associated with chaos and destruction.
  • D. Jormungandr
    Jormungandr is the colossal World Serpent of Norse mythology, destined to encircle Midgard and battle Thor during Ragnarök.
  • E. Muninn
    Muninn is one of the two ravens in Norse mythology who serve Odin by flying across the world to gather and report information back to him.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdd2715c81908250bb2925de8e1f completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:20 p.m.