Triple
T30900987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "If it doesn’t fit, you must acquit" |
E787164
|
entity |
| Predicate | memorabilityReason |
P115239
|
FINISHED |
| Object | simple rhyme and rhythm |
—
|
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: simple rhyme and rhythm | Statement: ["If it doesn’t fit, you must acquit", memorabilityReason, simple rhyme and rhythm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorabilityReason Context triple: ["If it doesn’t fit, you must acquit", memorabilityReason, simple rhyme and rhythm]
-
A.
memorability
Indicates how likely something is to be easily remembered or retained in memory by someone.
-
B.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
C.
memorableProp
chosen
Indicates that something possesses a quality or feature that makes it easy to remember or likely to be recalled.
-
D.
rememberedFor
Indicates that one entity is known or recognized primarily because of, or in association with, another entity or achievement.
-
E.
reasonForSignificance
Indicates that one entity explains or justifies why another entity is important, notable, or significant.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 29, 2026, 8:50 p.m.