Triple
T9327160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Call the Whole Thing Off |
E224417
|
entity |
| Predicate | hasRhymeSchemeFeature |
P87544
|
FINISHED |
| Object | contrasting pronunciation pairs |
—
|
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: contrasting pronunciation pairs | Statement: [Let's Call the Whole Thing Off, hasRhymeSchemeFeature, contrasting pronunciation pairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRhymeSchemeFeature Context triple: [Let's Call the Whole Thing Off, hasRhymeSchemeFeature, contrasting pronunciation pairs]
-
A.
rhymeScheme
Indicates the pattern of end sounds in a sequence of lines, showing which lines rhyme with each other.
-
B.
hasRhymeStyle
Indicates that two linguistic elements share the same pattern or style of rhyming.
-
C.
hasRhymeLine
Indicates that one line of text rhymes with another line.
-
D.
hasTraditionalRhyme
Indicates that something is associated with or characterized by a conventional or culturally established rhyme.
-
E.
hasRhymingText
Indicates that two pieces of text share a rhyming relationship, typically ending with similar or identical sounds.
- F. None of above. chosen
Provenance (4 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37aa78648190b786b50402b15569 |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:39 p.m.