Triple
T109912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sketch Book of Geoffrey Crayon, Gent. |
E2223
|
entity |
| Predicate | firstCompleteBookEditionYear |
P25
|
FINISHED |
| Object | 1820 |
—
|
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: 1820 | Statement: [The Sketch Book of Geoffrey Crayon, Gent., firstCompleteBookEditionYear, 1820]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompleteBookEditionYear Context triple: [The Sketch Book of Geoffrey Crayon, Gent., firstCompleteBookEditionYear, 1820]
-
A.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
B.
firstEditionPrintRun
Indicates the initial quantity of copies produced when a work is printed in its first published edition.
-
C.
firstEditionSoldOutTime
Indicates the point in time at which the first edition of an item became completely sold out.
-
D.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.