Triple
T8509636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rrose Sélavy |
E201417
|
entity |
| Predicate | notableQuoteAttribution |
P42822
|
FINISHED |
| Object | series of French puns and aphorisms published under the name Rrose Sélavy |
—
|
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: series of French puns and aphorisms published under the name Rrose Sélavy | Statement: [Rrose Sélavy, notableQuoteAttribution, series of French puns and aphorisms published under the name Rrose Sélavy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuoteAttribution Context triple: [Rrose Sélavy, notableQuoteAttribution, series of French puns and aphorisms published under the name Rrose Sélavy]
-
A.
quoteAttributedTo
Indicates that a specific quotation is credited as having been said or written by a particular source or entity.
-
B.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
C.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
D.
notableWorkAuthor
chosen
Indicates that one entity is the creator or author of a notable work associated with another entity.
-
E.
quotationText
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.