Triple
T25508824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnet 1 "Loving in truth" |
E639315
|
entity |
| Predicate | functionInSequence |
P127651
|
FINISHED |
| Object | sets tone for subsequent sonnets |
—
|
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: sets tone for subsequent sonnets | Statement: [Sonnet 1 "Loving in truth", functionInSequence, sets tone for subsequent sonnets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInSequence Context triple: [Sonnet 1 "Loving in truth", functionInSequence, sets tone for subsequent sonnets]
-
A.
hasFunctionInSeries
chosen
Indicates that an entity serves a specific functional role within a sequence or series of related elements.
-
B.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
-
C.
functionInState
Indicates that an entity is performing, exhibiting, or operating in a particular state or condition.
-
D.
sequenceWith
Indicates that one entity occurs in a specific order directly before or after another entity as part of a defined sequence.
-
E.
operationSequence
Indicates that one operation occurs in a specific order relative to another within a defined sequence of actions.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f80844488190bbbaa6bd2e487940 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:48 p.m.