Triple
T19980958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Lady |
E493813
|
entity |
| Predicate | hasNotableWork |
P4
|
FINISHED |
| Object | Sonnet 147 |
—
|
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 147 | Statement: [Dark Lady, hasNotableWork, Sonnet 147]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnet 147 Context triple: [Dark Lady, hasNotableWork, Sonnet 147]
-
A.
Sonnet 147
chosen
Sonnet 147 is one of William Shakespeare’s later, darker sonnets, in which he portrays love as a destructive, feverish madness.
-
B.
Sonnet 146
Sonnet 146 is one of William Shakespeare’s English sonnets, notable for its meditation on the soul, mortality, and the vanity of earthly concerns.
-
C.
Sonnet 141
Sonnet 141 is one of William Shakespeare’s Dark Lady sonnets, exploring the conflict between rational judgment and irrational desire in love.
-
D.
Sonnet 135
Sonnet 135 is one of William Shakespeare’s so-called Dark Lady sonnets, notable for its intricate wordplay on the word “will” and its exploration of desire and sexual punning.
-
E.
Sonnet 142
Sonnet 142 is one of William Shakespeare’s so-called “Dark Lady” sonnets, notable for its exploration of conflicted desire, moral hypocrisy, and unrequited love.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d12d968819081e315ec4585cd9f |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.