Triple
T35975928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Balfour series |
E1040413
|
entity |
| Predicate | secondWorkPublicationYear |
P33640
|
FINISHED |
| Object | 1893 |
—
|
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: 1893 | Statement: [David Balfour series, secondWorkPublicationYear, 1893]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondWorkPublicationYear Context triple: [David Balfour series, secondWorkPublicationYear, 1893]
-
A.
secondBookPublicationYear
Indicates the year in which an entity’s second book was published.
-
B.
secondSeriesPublicationYear
chosen
Indicates the year in which the second series or installment of a work was published.
-
C.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
-
D.
publicationYearOfSecondEdition
Indicates the year in which the second edition of a work was published.
-
E.
secondMajorOutputPublicationPeriod
Indicates the time period during which the entity’s second most significant major output or publication was produced or made publicly available.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:07 p.m.