Triple
T21242162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezekiel 1 |
E523501
|
entity |
| Predicate | describesAppearanceOf |
P143336
|
FINISHED |
| Object | four-faced living creatures |
—
|
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: four-faced living creatures | Statement: [Ezekiel 1, describesAppearanceOf, four-faced living creatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesAppearanceOf Context triple: [Ezekiel 1, describesAppearanceOf, four-faced living creatures]
-
A.
hasCharacterAppearance
Indicates that a character appears or is visually represented within a given work, scene, or context.
-
B.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
C.
publicAppearance
Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
-
D.
styleDescribedAs
Indicates that the manner, aesthetic, or mode of something is characterized or labeled using a particular style description.
-
E.
hasTypicalAppearance
Indicates that an entity exhibits the standard or commonly expected visual form or look associated with its kind.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352453f88190b38de7b0108c683a |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:47 p.m.