Triple
T10343613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peretz Smolenskin |
E243685
|
entity |
| Predicate | publicationStartYearOfHaShahar |
P42604
|
FINISHED |
| Object | 1868 |
—
|
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: 1868 | Statement: [Peretz Smolenskin, publicationStartYearOfHaShahar, 1868]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationStartYearOfHaShahar Context triple: [Peretz Smolenskin, publicationStartYearOfHaShahar, 1868]
-
A.
serialPublicationStartYear
chosen
Indicates the calendar year in which a serial publication (such as a journal, magazine, or series) first began being issued.
-
B.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
C.
hasNewspaperFoundedThere
Indicates that a newspaper was founded at or in the location specified by the related entity.
-
D.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
E.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e92105888190a08104deb9d0cf1c |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:55 a.m.