Triple
T27596487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubu Productions |
E699912
|
entity |
| Predicate | hasClosingLogo |
P68438
|
FINISHED |
| Object | image of a black Labrador retriever with a Frisbee in its mouth |
—
|
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: image of a black Labrador retriever with a Frisbee in its mouth | Statement: [Ubu Productions, hasClosingLogo, image of a black Labrador retriever with a Frisbee in its mouth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClosingLogo Context triple: [Ubu Productions, hasClosingLogo, image of a black Labrador retriever with a Frisbee in its mouth]
-
A.
hasLogoStyle
Indicates that an entity’s logo possesses or is characterized by a particular visual style or design approach.
-
B.
hasClosingMotif
Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
-
C.
hasFormerLogo
Indicates that an entity is associated with a logo it used in the past but no longer uses.
-
D.
hasAdvertisingVisual
chosen
Indicates that an entity includes, is associated with, or uses a specific visual element or asset for advertising purposes.
-
E.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 27, 2026, 2:06 p.m.