Triple
T8441085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thor |
E199352
|
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.
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.
Sifra
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
D.
Skadi
Skadi is a giantess and goddess in Norse mythology associated with winter, skiing, mountains, and hunting.
-
E.
Åsa
Åsa is a Scandinavian feminine given name commonly used in Sweden and other Nordic countries.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe138a94081908e306d22aaa39b24 |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d9ab3a88190ada7741cf054fc1b |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:08 p.m.