Triple
T23372805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To the Virgins, to Make Much of Time |
E593518
|
entity |
| Predicate | hasStanzaStructure |
P134317
|
FINISHED |
| Object | quatrains |
—
|
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: quatrains | Statement: [To the Virgins, to Make Much of Time, hasStanzaStructure, quatrains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStanzaStructure Context triple: [To the Virgins, to Make Much of Time, hasStanzaStructure, quatrains]
-
A.
hasStageStructure
Indicates that one entity possesses or is characterized by a particular stage-based structural organization defined by another entity.
-
B.
haveStructure
chosen
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
C.
hasStructureLevel
Indicates a relationship where one entity possesses, is assigned, or is characterized by a particular structural level within a hierarchy or layered organization.
-
D.
hasClauseStructure
Indicates that one linguistic unit exhibits a particular internal clause configuration or pattern in relation to another specified clause structure.
-
E.
hasGroupStructure
Indicates that the related entities together form an algebraic group under a specified operation, satisfying closure, associativity, identity, and invertibility.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b0bc3c8190b1093f7ea29d015c |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:33 p.m.