Triple
T35401119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nets of Space |
E1023232
|
entity |
| Predicate | reflectsPoeticApproach |
P64255
|
FINISHED |
| Object | innovative use of language |
—
|
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: innovative use of language | Statement: [The Nets of Space, reflectsPoeticApproach, innovative use of language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsPoeticApproach Context triple: [The Nets of Space, reflectsPoeticApproach, innovative use of language]
-
A.
poeticDepiction
Indicates that one entity artistically represents or describes another using poetic or figurative language.
-
B.
poeticStyle
chosen
Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
-
C.
poeticParaphrasedIn
Indicates that one expression is rendered as a poetic or stylistically embellished paraphrase of another expression.
-
D.
poeticCategory
Indicates that one entity is classified as belonging to a particular poetic category or type of poetry in relation to another entity.
-
E.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7953aeb18819089c35efbd10e6b00 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.