Triple
T25079281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Bacon's essays |
E628136
|
entity |
| Predicate | numberOfEssaysIn1597Edition |
P12674
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Francis Bacon's essays, numberOfEssaysIn1597Edition, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEssaysIn1597Edition Context triple: [Francis Bacon's essays, numberOfEssaysIn1597Edition, 10]
-
A.
numberOfEssays
chosen
Indicates the quantity of essays associated with a given entity or context.
-
B.
numberOfPoemsInFirstEdition
Indicates the quantity of poems contained in the first edition of a given work or collection.
-
C.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
D.
15thEditionNumberOfVolumes
Indicates the total number of volumes contained in the 15th edition of a work or publication.
-
E.
containsEssayBy
Indicates that one entity (such as a collection, volume, or publication) includes an essay authored by another specified 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 18, 2026, 6:21 a.m.