Triple
T16650117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mind–body problem |
E404580
|
entity |
| Predicate | hasSubproblem |
P21666
|
FINISHED |
| Object | problem of other minds |
—
|
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: problem of other minds | Statement: [mind–body problem, hasSubproblem, problem of other minds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubproblem Context triple: [mind–body problem, hasSubproblem, problem of other minds]
-
A.
hasSubproject
Indicates that a project includes another project as a subordinate or component part within its overall structure.
-
B.
hasSubProcess
Indicates that one process is composed of or includes another process as a subordinate or component step.
-
C.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
-
D.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
-
E.
hasSubConcept
chosen
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.