Triple
T28847353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ides of March |
E728488
|
entity |
| Predicate | hasFamousQuoteAssociated |
P492
|
FINISHED |
| Object | Beware the Ides of March |
—
|
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: Beware the Ides of March | Statement: [Ides of March, hasFamousQuoteAssociated, Beware the Ides of March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousQuoteAssociated Context triple: [Ides of March, hasFamousQuoteAssociated, Beware the Ides of March]
-
A.
notableQuote
chosen
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
B.
notableQuoteOrigin
Indicates that a quoted statement is originally attributed to a particular source or context.
-
C.
isFamousExcerptOf
Indicates that one text passage is a well-known or widely recognized excerpt taken from a larger work.
-
D.
oftenMisquotedAs
Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
-
E.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 28, 2026, 6:42 a.m.