Triple
T26828542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algernon Moncrieff |
E675433
|
entity |
| Predicate | oftenQuotedFor |
P60904
|
FINISHED |
| Object | epigrammatic dialogue |
—
|
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: epigrammatic dialogue | Statement: [Algernon Moncrieff, oftenQuotedFor, epigrammatic dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenQuotedFor Context triple: [Algernon Moncrieff, oftenQuotedFor, epigrammatic dialogue]
-
A.
oftenMisquotedAs
Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
-
B.
oftenCitedAs
chosen
Indicates that one entity is frequently referenced or mentioned as an example, source, or authority in relation to another entity.
-
C.
isOftenRecitedFor
Indicates that something (such as a text, phrase, or piece of music) is frequently spoken, chanted, or performed for a particular purpose, audience, or occasion.
-
D.
quotationText
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
E.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 5 a.m.