Triple
T20806748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take All My Loves: 9 Shakespeare Sonnets |
E512180
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sonnet 29 |
—
|
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 29 | Statement: [Take All My Loves: 9 Shakespeare Sonnets, hasPart, Sonnet 29]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnet 29 Context triple: [Take All My Loves: 9 Shakespeare Sonnets, hasPart, Sonnet 29]
-
A.
Sonnet 29
chosen
Sonnet 29 is one of William Shakespeare’s most famous sonnets, known for its shift from deep despair to emotional renewal through the thought of a beloved friend.
-
B.
Sonnet 30
Sonnet 30 is one of William Shakespeare’s most famous sonnets, reflecting on themes of memory, loss, and the consoling power of friendship.
-
C.
Sonnet 34
Sonnet 34 is one of Edmund Spenser’s Amoretti sonnets, reflecting his characteristic blend of intricate poetic form and Renaissance love themes.
-
D.
Sonnet 129
Sonnet 129 is one of William Shakespeare’s most famous sonnets, noted for its intense exploration of lust, guilt, and moral conflict.
-
E.
Sonnet 130
Sonnet 130 is one of William Shakespeare’s most famous sonnets, noted for its ironic, realistic portrayal of the speaker’s mistress that subverts conventional poetic idealization of beauty.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cfdee481908e42a1a8940ea40c |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.