Triple
T3514723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helheim |
E74277
|
entity |
| Predicate | associatedAnimal |
P13551
|
FINISHED |
| Object | Garmr |
E361907
|
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: Garmr | Statement: [Helheim, associatedAnimal, Garmr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garmr Context triple: [Helheim, associatedAnimal, Garmr]
-
A.
Garmr
chosen
Garmr is a fearsome hound from Norse mythology, often associated with guarding the underworld and playing a pivotal role in the events of Ragnarök.
-
B.
Garona Halforcen
Garona Halforcen is a half-orc assassin and diplomat from the Warcraft universe, known for her pivotal role in the events surrounding the First War between orcs and humans.
-
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.
Erigon
Erigon is a high-performance, modular Ethereum execution client focused on efficient resource usage and fast synchronization.
-
E.
Hestur
Hestur is a small, sparsely populated island in the central Faroe Islands known for its steep cliffs, birdlife, and traditional Faroese landscape.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2efa4c8190ac1ca221f3f0eba4 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bc4e9988190921d193e84e53bf1 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.