Triple
T21058428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleonymus |
E518782
|
entity |
| Predicate | isObscureFigureIn |
P142672
|
FINISHED |
| Object | Greek mythology |
—
|
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: Greek mythology | Statement: [Cleonymus, isObscureFigureIn, Greek mythology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isObscureFigureIn Context triple: [Cleonymus, isObscureFigureIn, Greek mythology]
-
A.
obscuredIn
Indicates that one entity is hidden, blocked, or made less visible due to the presence or influence of another entity.
-
B.
visibilityInImages
Indicates how clearly or prominently an entity can be seen or detected within one or more images.
-
C.
isDifficultToObserveInVisible
Indicates that the subject cannot be easily detected or studied using visible-wavelength (optical) observations.
-
D.
isPartiallyVisibleFrom
Indicates that one entity can be seen only in part, rather than fully, from the viewpoint or location of another entity.
-
E.
visibleUnder
Indicates that one entity can be seen or perceived when another specified condition, context, or covering entity is present or in effect.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd8236b481908eebfaeeb2aa63e6 |
completed | April 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:37 p.m.