Triple
T270268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Autocrat of the Breakfast-Table |
E5616
|
entity |
| Predicate | originalAudience |
P1996
|
FINISHED |
| Object | readers of The Atlantic Monthly |
—
|
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: readers of The Atlantic Monthly | Statement: [The Autocrat of the Breakfast-Table, originalAudience, readers of The Atlantic Monthly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAudience Context triple: [The Autocrat of the Breakfast-Table, originalAudience, readers of The Atlantic Monthly]
-
A.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
B.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
C.
originallyWrittenFor
chosen
Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
-
D.
approximateAudienceSize
Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
-
E.
audienceSizeApproximate
Indicates an estimated or approximate number of people in the audience for an event or content.
- 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.