Triple
T15585546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Þórr |
E374610
|
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: [Þórr, spouse, Sif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sif Context triple: [Þórr, 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.
Freya Roth
Freya Roth is the courageous young woman at the heart of the 1940 anti-Nazi drama film "The Mortal Storm," whose personal and family struggles reflect the moral and social upheaval of Hitler’s rise to power in Germany.
-
D.
Sifra
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
E.
Skadi
Skadi is a giantess and goddess in Norse mythology associated with winter, skiing, mountains, and hunting.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c5166d88190ab14c7779e3e8e1f |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.