Triple
T2722758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thor |
E60118
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sif |
E75118
|
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: Sif | Statement: [Thor, spouse, Sif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sif Context triple: [Thor, spouse, Sif]
-
A.
Sif
chosen
Sif is a goddess in Norse mythology best known as the golden-haired wife of Thor and a deity associated with earth, fertility, and grain.
-
B.
Sifra
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
C.
Skadi
Skadi is a giantess and goddess in Norse mythology associated with winter, skiing, mountains, and hunting.
-
D.
Freyja
Freyja is a major Norse goddess associated with love, beauty, fertility, magic, and war, often depicted as a powerful and independent figure who rides a chariot drawn by cats.
-
E.
Norn
Norn was an extinct North Germanic language once spoken in the Northern Isles of Scotland, particularly Orkney and Shetland.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab2f36c8190aa0b452e57525fe0 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6939a50819087ac2c55337ceae3 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.