Triple
T6287470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Aeolus through Sisyphus |
E140934
|
entity |
| Predicate | includesFigureType |
P69931
|
FINISHED |
| Object | mythological kings |
—
|
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: mythological kings | Statement: [House of Aeolus through Sisyphus, includesFigureType, mythological kings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFigureType Context triple: [House of Aeolus through Sisyphus, includesFigureType, mythological kings]
-
A.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
B.
graphicsType
Indicates the type or category of graphics associated with or used by an entity.
-
C.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
D.
linkedFigure
Indicates that one figure is associated or connected to another figure, typically as a reference or related visual element.
-
E.
discussesFigure
Indicates that one entity engages in discussion or analysis specifically about a particular figure (such as a person, character, or notable individual).
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ff9f74819088dc603f56fc930c |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.