Triple
T35114441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "How do I love thee? Let me count the ways" |
E1013393
|
entity |
| Predicate | hasPronounciationRhymeWith |
P67458
|
FINISHED |
| Object | "thee" / "me" internal sound pattern |
—
|
LITERAL FINISHED |
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: "thee" / "me" internal sound pattern | Statement: ["How do I love thee? Let me count the ways", hasPronounciationRhymeWith, "thee" / "me" internal sound pattern]
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 (3 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0358c946f08190a8fb41c643074475 |
completed | May 12, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_6a03586e5bb08190a71e075fde7cd679 |
completed | May 12, 2026, 4:42 p.m. |
Created at: May 3, 2026, 4:01 p.m.