Triple
T15090815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Níðhöggr |
E360407
|
entity |
| Predicate | typeOfEvil |
P117279
|
FINISHED |
| Object | chthonic monster |
—
|
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: chthonic monster | Statement: [Níðhöggr, typeOfEvil, chthonic monster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEvil Context triple: [Níðhöggr, typeOfEvil, chthonic monster]
-
A.
positionOnEvil
Indicates a stance or viewpoint an entity holds regarding what is considered evil or morally wrong.
-
B.
viewOnEvil
Indicates a stance or perspective that an entity holds regarding what is considered evil.
-
C.
typeOfDarkness
Indicates a relationship where one entity is characterized as a specific kind or form of darkness relative to another.
-
D.
eightEvilThoughtsInclude
Indicates that a set or concept of “eight evil thoughts” contains or encompasses certain specific negative thoughts or mental states.
-
E.
primaryAntagonistType
Indicates the role or category of the main opposing force or adversary that serves as the central source of conflict.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:04 a.m.