Triple
T35114441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "How do I love thee? Let me count the ways" |
E1013393
|
entity |
| Predicate | hasPronounciationRhymeWith |
—
|
GENERATED |
| Object | "thee" / "me" internal sound pattern |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPronounciationRhymeWith Context triple: ["How do I love thee? Let me count the ways", hasPronounciationRhymeWith, "thee" / "me" internal sound pattern]
-
A.
hasPhonologicalSimilarityTo
Indicates that two linguistic elements share similar sound patterns or phonological features.
-
B.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
-
C.
hasRhymingName
Indicates that one entity has a name that rhymes with the name of another entity.
-
D.
hasRhymingText
chosen
Indicates that two pieces of text share a rhyming relationship, typically ending with similar or identical sounds.
-
E.
hasHomophones
Indicates that two or more linguistic expressions share the same pronunciation but differ in meaning, spelling, or both.
- F. None of above.
Provenance (1 batch)
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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.