Triple
T28783002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Making of the Modern Identity |
E726725
|
entity |
| Predicate | associatedWithSubdiscipline |
P203709
|
FINISHED |
| Object | moral philosophy |
—
|
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: moral philosophy | Statement: [The Making of the Modern Identity, associatedWithSubdiscipline, moral philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSubdiscipline Context triple: [The Making of the Modern Identity, associatedWithSubdiscipline, moral philosophy]
-
A.
associatedWithDiscipline
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
-
B.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
C.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
D.
studiedInSubdiscipline
Indicates that an entity pursued study or academic work within a specific subdiscipline of a broader field.
-
E.
associatedScholarlyField
Indicates that one entity is connected to or concerned with a particular scholarly or academic field of study.
- F. None of above. chosen
Provenance (4 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a01ccd995e48190b6675e463bd0a567 |
completed | May 11, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_6a01cc33177c8190bc0703276618b3ec |
completed | May 11, 2026, 12:31 p.m. |
| PDg | Predicate description generation | batch_6a01ccd8c6108190b4b0e991805a750d |
completed | May 11, 2026, 12:34 p.m. |
Created at: April 28, 2026, 6:20 a.m.