Triple
T33846953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akuj |
E867506
|
entity |
| Predicate | hasNoFixedImage |
P203820
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Akuj, hasNoFixedImage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFixedImage Context triple: [Akuj, hasNoFixedImage, true]
-
A.
hasNoConventionalFocalPoint
Indicates that something lacks a single, traditional center of attention or primary point that visually or conceptually draws focus.
-
B.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
C.
hasImageFeature
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
-
D.
hasNotableCoverOrInterpolation
Indicates that a work has a notable cover version or interpolation created by another artist.
-
E.
hasNoDepictionOf
Indicates that the subject lacks any visual or graphical representation of the specified object or concept.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0212b3462c8190ba3587852cb10655 |
completed | May 11, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_6a020f3138a48190ac630e810939e881 |
completed | May 11, 2026, 5:17 p.m. |
| PDg | Predicate description generation | batch_6a0212b0f9b081908917bec8e61c9d2e |
completed | May 11, 2026, 5:32 p.m. |
Created at: May 1, 2026, 1:47 a.m.