Triple
T12247870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rags to Riches |
E291894
|
entity |
| Predicate | inspiredByIdiom |
P39781
|
FINISHED |
| Object | rags to riches |
—
|
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: rags to riches | Statement: [Rags to Riches, inspiredByIdiom, rags to riches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByIdiom Context triple: [Rags to Riches, inspiredByIdiom, rags to riches]
-
A.
inspiredByPhrase
chosen
Indicates that one entity’s creation, idea, or expression is motivated or shaped by the content or wording of a particular phrase.
-
B.
inspiredTermMeaning
Indicates that one term’s meaning is derived from, modeled after, or conceptually influenced by another term.
-
C.
inspiredTrope
Indicates that one trope serves as the creative or conceptual inspiration for another trope.
-
D.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
E.
figurativeMeaning
Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.