Triple
T20862838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnet 10 |
E513666
|
entity |
| Predicate | inCollectionWith |
P1925
|
FINISHED |
| Object | Sonnet 1 |
—
|
NE NERFINISHED |
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: Sonnet 1 | Statement: [Sonnet 10, inCollectionWith, Sonnet 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnet 1 Context triple: [Sonnet 10, inCollectionWith, Sonnet 1]
-
A.
Sonnet 1
chosen
Sonnet 1 is the opening poem of Edmund Spenser’s Amoretti sequence, introducing its central themes of love, devotion, and poetic praise of the beloved.
-
B.
Sonnet 10
Sonnet 10 is one of William Shakespeare’s 154 sonnets, notable for its exploration of love, self-love, and the poet’s plea for emotional openness.
-
C.
Sonnet 54
Sonnet 54 is one of Edmund Spenser’s Amoretti sonnets, notable for its exploration of unrequited love through the metaphor of theatrical performance.
-
D.
Sonnet 34
Sonnet 34 is one of Edmund Spenser’s Amoretti sonnets, reflecting his characteristic blend of intricate poetic form and Renaissance love themes.
-
E.
Sonnet 20
Sonnet 20 is one of William Shakespeare’s most discussed sonnets, notable for its exploration of gender, beauty, and desire in the context of the Fair Youth sequence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.