Triple
T834406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Hundred Years of Solitude |
E18037
|
entity |
| Predicate | firstEnglishPublicationDate |
P17648
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [One Hundred Years of Solitude, firstEnglishPublicationDate, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEnglishPublicationDate Context triple: [One Hundred Years of Solitude, firstEnglishPublicationDate, 1970]
-
A.
firstEnglishTranslationYear
chosen
Indicates the year in which an entity was first translated into English.
-
B.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
C.
firstCompleteBiblePublicationDate
Indicates the date on which the first complete edition of the Bible associated with an entity was published.
-
D.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
-
E.
placeOfFirstPublication
Indicates the location where a work was first published 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abccb94881909cd49aa3fd986b4a |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7c7df881909c539c3ab8ff0367 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.