Triple
T3551446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sif |
E75118
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | golden-haired 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: golden-haired Sif | Statement: [Sif, epithet, golden-haired Sif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: golden-haired Sif Context triple: [Sif, epithet, golden-haired 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.
Jane Foster
Jane Foster is a brilliant astrophysicist and Thor’s primary human love interest in Marvel’s Thor films.
-
C.
Sifra
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
D.
Idunn
Idunn is the Norse goddess who guards the apples of immortality that keep the gods eternally youthful.
-
E.
Heimdall
Heimdall is a powerful Asgardian guardian in the Marvel universe, known for his all-seeing vision, immense strength, and duty to watch over the Bifröst Bridge.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd52f44819088e07139fe987e2a |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bec437c8190b35ca77dc19d441d |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.