Triple
T13542017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything’s Coming Up Roses |
E323409
|
entity |
| Predicate | influencedIdiom |
P8493
|
FINISHED |
| Object | “everything’s coming up roses” used to mean things are going very well |
—
|
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: “everything’s coming up roses” used to mean things are going very well | Statement: [Everything’s Coming Up Roses, influencedIdiom, “everything’s coming up roses” used to mean things are going very well]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedIdiom Context triple: [Everything’s Coming Up Roses, influencedIdiom, “everything’s coming up roses” used to mean things are going very well]
-
A.
meaningOfPhrase
chosen
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
B.
languageOfInfluence
Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
-
C.
relatedProverb
Indicates that one entity is a proverb that is thematically or conceptually related to another entity.
-
D.
pairedWithIdiomatically
Indicates that one entity is commonly or conventionally paired with another in idiomatic usage or expression.
-
E.
inspiredTermMeaning
Indicates that one term’s meaning is derived from, modeled after, or conceptually influenced by another term.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.