Triple
T15391574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electra paradox |
E368056
|
entity |
| Predicate | illustratesProblem |
P41972
|
FINISHED |
| Object | failure of Leibniz’s law in epistemic contexts |
—
|
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: failure of Leibniz’s law in epistemic contexts | Statement: [Electra paradox, illustratesProblem, failure of Leibniz’s law in epistemic contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratesProblem Context triple: [Electra paradox, illustratesProblem, failure of Leibniz’s law in epistemic contexts]
-
A.
typicalProblem
Indicates that a situation, issue, or obstacle is representative or characteristic of the usual problems encountered in a given context.
-
B.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
C.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
-
D.
problemInPlot
Indicates that there is an issue, flaw, or inconsistency present within the structure or progression of a plot.
-
E.
isUsedToIllustrate
chosen
Indicates that one entity serves as an example or demonstration to clarify, explain, or represent another entity.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.