Triple
T15204664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skírnismál |
E363357
|
entity |
| Predicate | relatedWork |
P37
|
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: [Skírnismál, relatedWork, Vafþrúðnismál]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vafþrúðnismál Context triple: [Skírnismál, relatedWork, 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0a12e081908d7d2ae7c9774f94 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 3:11 a.m.