Triple
T25703186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History of Miss Betsy Thoughtless |
E644517
|
entity |
| Predicate | associatedFieldOfStudy |
P148667
|
FINISHED |
| Object | eighteenth-century studies |
—
|
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: eighteenth-century studies | Statement: [The History of Miss Betsy Thoughtless, associatedFieldOfStudy, eighteenth-century studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFieldOfStudy Context triple: [The History of Miss Betsy Thoughtless, associatedFieldOfStudy, eighteenth-century studies]
-
A.
characterFieldOfStudy
Indicates the academic or disciplinary field that a character studies or specializes in.
-
B.
associatedScholarlyField
chosen
Indicates that one entity is connected to or concerned with a particular scholarly or academic field of study.
-
C.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
D.
isPartOfStudyField
Indicates that one subject, topic, or subfield belongs to, is included within, or is a component of a broader academic or research field.
-
E.
offersFieldOfStudy
Indicates that an institution or program provides a particular field of study as an available area of academic focus.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 21, 2026, 8:59 p.m.