Triple
T17724640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rape of the Sabine Women (Hamilton) |
E442428
|
entity |
| Predicate | hasCompositionalType |
P841
|
FINISHED |
| Object | multi-figure composition |
—
|
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: multi-figure composition | Statement: [The Rape of the Sabine Women (Hamilton), hasCompositionalType, multi-figure composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompositionalType Context triple: [The Rape of the Sabine Women (Hamilton), hasCompositionalType, multi-figure composition]
-
A.
hasCompositionType
Indicates that one entity is composed of or formed by another entity in a specific structural or material way.
-
B.
containsCompoundType
Indicates that one entity includes or is composed of another entity of a specified compound type.
-
C.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
D.
isComposite
Indicates that an entity is made up of multiple components or parts combined into a single whole.
-
E.
hasConcretionType
Indicates that an entity possesses or is associated with a specific type or category of concretion.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748900608190bf5ba04415edaffc |
completed | April 19, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:07 a.m.