Triple
T29444084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satires of Horace |
E746796
|
entity |
| Predicate | secondBookApproxDate |
P43236
|
FINISHED |
| Object | circa 30 BCE |
—
|
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: circa 30 BCE | Statement: [Satires of Horace, secondBookApproxDate, circa 30 BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondBookApproxDate Context triple: [Satires of Horace, secondBookApproxDate, circa 30 BCE]
-
A.
secondBookApproximateDate
chosen
Indicates that an entity’s second book is associated with an estimated or approximate publication date rather than a precise one.
-
B.
secondBook
Indicates that one entity is the second book in an ordered sequence or collection relative to another entity.
-
C.
secondBookPublicationYear
Indicates the year in which an entity’s second book was published.
-
D.
secondBookTitle
Indicates the title of the second book associated with a given entity or in a specified ordered collection of books.
-
E.
secondEditionStartDate
Indicates the date on which the second edition of something officially begins or is first released.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 28, 2026, 3:25 p.m.