Triple
T25702451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cato, a Tragedy |
E644499
|
entity |
| Predicate | quotation |
P78667
|
FINISHED |
| Object | “It is not now time to talk of aught / But chains or conquest, liberty or death.” |
—
|
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: “It is not now time to talk of aught / But chains or conquest, liberty or death.” | Statement: [Cato, a Tragedy, quotation, “It is not now time to talk of aught / But chains or conquest, liberty or death.”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotation Context triple: [Cato, a Tragedy, quotation, “It is not now time to talk of aught / But chains or conquest, liberty or death.”]
-
A.
quotationText
chosen
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
B.
quotedWork
Indicates that one entity is a work (e.g., text, speech, or media) that is quoted or cited within another entity.
-
C.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
-
D.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
-
E.
quoteLanguage
Indicates that a quoted text is expressed in a particular language.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0e881081909ac33b3e42e82471 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 8:48 p.m.