Triple
T1911277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theaetetus |
E38114
|
entity |
| Predicate | examinesProblem |
P32303
|
FINISHED |
| Object | possibility of false belief |
—
|
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: possibility of false belief | Statement: [Theaetetus, examinesProblem, possibility of false belief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examinesProblem Context triple: [Theaetetus, examinesProblem, possibility of false belief]
-
A.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
B.
problems
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
-
C.
exploresQuestion
chosen
Indicates that an entity actively investigates, examines, or probes a question to gain deeper understanding or insight.
-
D.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
E.
commonlySolvedBy
Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.