Triple
T36885701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova 2 |
E911602
|
entity |
| Predicate | hasClassNameTheme |
P115320
|
FINISHED |
| Object | Nova branding |
—
|
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: Nova branding | Statement: [Nova 2, hasClassNameTheme, Nova branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassNameTheme Context triple: [Nova 2, hasClassNameTheme, Nova branding]
-
A.
hasClassName
chosen
Indicates that an entity is associated with or identified by a specific class name in a classification or type system.
-
B.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
C.
isThemedTo
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
-
D.
hasThemeFunction
Indicates that something serves a particular thematic role or function within a larger context, such as a work, event, or system.
-
E.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
- F. None of above.
Provenance (3 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:13 p.m.