Triple
T13645249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldorf |
E326084
|
entity |
| Predicate | notableQuoteType |
P84095
|
FINISHED |
| Object | critical remarks about performances |
—
|
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: critical remarks about performances | Statement: [Waldorf, notableQuoteType, critical remarks about performances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuoteType Context triple: [Waldorf, notableQuoteType, critical remarks about performances]
-
A.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
B.
notableQuoteStyle
chosen
Indicates the characteristic manner or style in which a notable quote is expressed or delivered.
-
C.
notableTypeOf
Indicates that one entity is a particularly prominent, well-known, or exemplary instance or subtype of another entity.
-
D.
notableTypeOfWork
Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
-
E.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.