Triple
T12532168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England countryside |
E299594
|
entity |
| Predicate | frequentlyDescribedBy |
P21265
|
FINISHED |
| Object | American novelists |
—
|
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: American novelists | Statement: [New England countryside, frequentlyDescribedBy, American novelists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentlyDescribedBy Context triple: [New England countryside, frequentlyDescribedBy, American novelists]
-
A.
isFrequentlyDescribedAs
chosen
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
B.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
C.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
E.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.