Triple
T20223188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnet 30 |
E495310
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sonnet XXX |
—
|
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 XXX | Statement: [Sonnet 30, alsoKnownAs, Sonnet XXX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnet XXX Context triple: [Sonnet 30, alsoKnownAs, Sonnet XXX]
-
A.
Sonnet 30
chosen
Sonnet 30 is one of William Shakespeare’s most famous sonnets, reflecting on themes of memory, loss, and the consoling power of friendship.
-
B.
Sonnet 34
Sonnet 34 is one of Edmund Spenser’s Amoretti sonnets, reflecting his characteristic blend of intricate poetic form and Renaissance love themes.
-
C.
Sonnet 137
Sonnet 137 is one of William Shakespeare’s “Dark Lady” sonnets, exploring themes of deceptive love, moral blindness, and the conflict between reason and desire.
-
D.
Sonnet 132
Sonnet 132 is one of William Shakespeare’s Dark Lady sonnets, notable for its exploration of unrequited love and the speaker’s conflicted admiration for the beloved’s dark features.
-
E.
Sonnet 139
Sonnet 139 is one of William Shakespeare’s Dark Lady sonnets, exploring themes of unrequited love, emotional torment, and betrayal in a turbulent romantic relationship.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd729548190942bcf842f03c4cd |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.