Triple
T10626825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnlöð |
E250344
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Gunnlod |
E250344
|
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: Gunnlod | Statement: [Gunnlöð, nameVariant, Gunnlod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnlod Context triple: [Gunnlöð, nameVariant, Gunnlod]
-
A.
Gunnlöð
chosen
Gunnlöð is a giantess in Norse mythology who guards the precious mead of poetry in the mountain Hnitbjörg.
-
B.
Ashildr
Ashildr is a recurring Doctor Who character, originally a Viking girl made immortal by the Doctor, whose long life profoundly shapes her complex relationship with him.
-
C.
Gullveig
Gullveig is a mysterious Vanir figure in Norse mythology whose torture and attempted killing by the Aesir helped ignite the Aesir–Vanir War and is often associated with gold, magic, and the sorcerous practice of seiðr.
-
D.
Thjodhild
Thjodhild was a Norse woman of the Viking Age, best known as one of the earliest Christian converts in Greenland and for building the first church there.
-
E.
Sigyn
Sigyn is a goddess in Norse mythology best known for her unwavering loyalty to Loki, particularly as she stays by his side during his punishment.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df8207f08190a6362a8ba00988b2 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a356e548190ab7a4a2c7111ba89 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 8:55 p.m.