Triple
T270245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Autocrat of the Breakfast-Table |
E5616
|
entity |
| Predicate | originalPublicationDecade |
P1856
|
FINISHED |
| Object | 1850s |
—
|
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: 1850s | Statement: [The Autocrat of the Breakfast-Table, originalPublicationDecade, 1850s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPublicationDecade Context triple: [The Autocrat of the Breakfast-Table, originalPublicationDecade, 1850s]
-
A.
publicationDecade
chosen
Indicates the decade during which a publication was released or made publicly available.
-
B.
publicationCentury
Indicates the century during which a work was published.
-
C.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
D.
decade
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
E.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.