Triple
T14330537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prophet (1912 woodcut) |
E355332
|
entity |
| Predicate | faceDominatesComposition |
P113996
|
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: [The Prophet (1912 woodcut), faceDominatesComposition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faceDominatesComposition Context triple: [The Prophet (1912 woodcut), faceDominatesComposition, true]
-
A.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
B.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
-
C.
faceInternalDiversityIn
Indicates that an entity experiences or confronts a range of differing or conflicting elements, perspectives, or characteristics within a specified context or domain.
-
D.
dominantComposition
Indicates that one entity is the primary or prevailing component, material, or element that makes up or characterizes another entity.
-
E.
faceExpression
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.