Triple
T29560679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life and Adventures of Nicholas Nickleby |
E750029
|
entity |
| Predicate | firstChapterPublicationYear |
P203021
|
FINISHED |
| Object | 1838 |
—
|
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: 1838 | Statement: [The Life and Adventures of Nicholas Nickleby, firstChapterPublicationYear, 1838]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChapterPublicationYear Context triple: [The Life and Adventures of Nicholas Nickleby, firstChapterPublicationYear, 1838]
-
A.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
B.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
C.
firstBookEnglishPublicationYear
Indicates the calendar year in which an entity’s first book was originally published in English.
-
D.
firstSerialPublicationYear
Indicates the calendar year in which a work was first published in serial form.
-
E.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
- F. None of above. chosen
Provenance (4 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a0115fb84448190b8b67a5ace7b289a |
completed | May 10, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_6a0114ef60a081908f8db7868cf29b2f |
completed | May 10, 2026, 11:29 p.m. |
| PDg | Predicate description generation | batch_6a0115fadcec8190bd1be2b44c1fc397 |
completed | May 10, 2026, 11:34 p.m. |
Created at: April 28, 2026, 5:19 p.m.