Triple
T35076198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC Lights series |
E1012313
|
entity |
| Predicate | shapeTheme |
P182084
|
FINISHED |
| Object | sphere |
—
|
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: sphere | Statement: [IC Lights series, shapeTheme, sphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeTheme Context triple: [IC Lights series, shapeTheme, sphere]
-
A.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
dataTheme
Indicates the primary subject area or thematic category that the associated data pertains to.
-
D.
flavorTheme
Indicates a relationship where one entity serves as the dominant or characteristic flavor profile guiding or defining the taste experience of another entity.
-
E.
PoseThemes
Indicates that a particular pose expresses, embodies, or is associated with certain thematic ideas or concepts.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865b4684819093f95e659522b75e |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.