Triple
T33986007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comedies and Proverbs |
E871410
|
entity |
| Predicate | hasProverbialMotto |
—
|
GENERATED |
| Object | each film associated with a proverb |
—
|
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: hasProverbialMotto Context triple: [Comedies and Proverbs, hasProverbialMotto, each film associated with a proverb]
-
A.
hasMottoLikeFunction
chosen
Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
-
B.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
C.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
-
D.
hasMottoScript
Indicates that an entity’s motto is written or expressed in a particular writing system or script.
-
E.
hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.