Triple
T20953668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Art |
E516042
|
entity |
| Predicate | stanzaStructure |
P30317
|
FINISHED |
| Object | 5 tercets and 1 quatrain |
—
|
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: 5 tercets and 1 quatrain | Statement: [One Art, stanzaStructure, 5 tercets and 1 quatrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanzaStructure Context triple: [One Art, stanzaStructure, 5 tercets and 1 quatrain]
-
A.
stanzaForm
Indicates the specific structural pattern or arrangement of lines and verses used in a stanza.
-
B.
poeticStructure
chosen
Indicates a relationship where one entity defines, embodies, or specifies the formal poetic organization (such as meter, rhyme scheme, or stanza pattern) used by another entity.
-
C.
refrainStructure
Indicates a structural relationship where a recurring refrain section is organized, positioned, or patterned within a larger composition or sequence.
-
D.
segmentStructure
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
-
E.
standStructure
Indicates that one entity is a vertical support or upright structural element for another entity.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fae154a481909f235165a46d0910 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 1:28 p.m.