Triple
T36524744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Champagne |
E900269
|
entity |
| Predicate | hasCodenameTheme |
—
|
GENERATED |
| Object | alcoholic beverages |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodenameTheme Context triple: [Agent Champagne, hasCodenameTheme, alcoholic beverages]
-
A.
usesCodenameTheme
chosen
Indicates that an entity adopts a consistent codename pattern or motif (e.g., colors, planets, mythological figures) for naming related items or agents.
-
B.
hasCodenameSeries
Indicates that an entity is associated with, or belongs to, a particular codename-based series.
-
C.
hasCodenameLanguage
Indicates that a codename is expressed or defined in a particular language.
-
D.
relatedCodename
Indicates that one entity has an associated or connected codename that is contextually related to it.
-
E.
hasNicknameTheme
Indicates that an entity’s nickname is based on or associated with a particular theme or motif.
- F. None of above.
Provenance (1 batch)
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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.