Triple
T579436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norse mythology |
E15025
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object |
Frigg
Frigg is the Norse goddess of marriage, motherhood, and foreknowledge, and the wife of the chief god Odin.
|
E74275
|
NE FINISHED |
How this triple was built (4 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: Frigg | Statement: [Norse mythology, hasDeity, Frigg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frigg Context triple: [Norse mythology, hasDeity, Frigg]
-
A.
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.
-
B.
Freyr
Freyr is a major Norse god associated with fertility, prosperity, sunshine, and fair weather, often revered as a bringer of peace and good harvests.
-
C.
Baldr
Baldr is a radiant and beloved Norse god associated with light, purity, and beauty, whose death is a central and tragic event in Norse mythology.
-
D.
Odin
Odin is the chief god in Norse mythology, associated with wisdom, war, poetry, and magic, and revered as the ruler of Asgard and the Aesir gods.
-
E.
HERA
HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frigg Triple: [Norse mythology, hasDeity, Frigg]
Generated description
Frigg is the Norse goddess of marriage, motherhood, and foreknowledge, and the wife of the chief god Odin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frigg Target entity description: Frigg is the Norse goddess of marriage, motherhood, and foreknowledge, and the wife of the chief god Odin.
-
A.
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.
-
B.
Freyr
Freyr is a major Norse god associated with fertility, prosperity, sunshine, and fair weather, often revered as a bringer of peace and good harvests.
-
C.
Baldr
Baldr is a radiant and beloved Norse god associated with light, purity, and beauty, whose death is a central and tragic event in Norse mythology.
-
D.
Odin
Odin is the chief god in Norse mythology, associated with wisdom, war, poetry, and magic, and revered as the ruler of Asgard and the Aesir gods.
-
E.
HERA
HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
- F. None of above. chosen
Provenance (5 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b6c358081908f458b9e3e208c0d |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a518c44ef0819088048289ed31246f |
completed | March 2, 2026, 4:57 a.m. |
| NEDg | Description generation | batch_69a5194215848190874442451c32a10b |
completed | March 2, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a519d2e46881909d00ff279bd4a13e |
completed | March 2, 2026, 5:02 a.m. |
Created at: March 1, 2026, 7:33 p.m.