Triple
T15500036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrym |
E378927
|
entity |
| Predicate | brideMistakenAs |
P118889
|
FINISHED |
| Object | Thor disguised as Freyja |
—
|
LITERAL 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: Thor disguised as Freyja | Statement: [Thrym, brideMistakenAs, Thor disguised as Freyja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brideMistakenAs Context triple: [Thrym, brideMistakenAs, Thor disguised as Freyja]
-
A.
bride
Indicates that an entity is a woman who is getting married or has just been married in relation to a wedding event or spouse.
-
B.
unknowinglyMarried
Indicates that one person is married to another without being aware of the marital relationship.
-
C.
marriageDefied
Indicates that a marriage went against, resisted, or violated expected norms, rules, or prohibitions.
-
D.
wronglyAccusedBy
Indicates that one entity has falsely or unjustly accused another entity of wrongdoing.
-
E.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
- F. None of above. chosen
Provenance (4 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:54 a.m.