Triple
T12152083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | anomalous monism |
E289479
|
entity |
| Predicate | aimsToReconcile |
P64674
|
FINISHED |
| Object | mental causation with physicalism |
—
|
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: mental causation with physicalism | Statement: [anomalous monism, aimsToReconcile, mental causation with physicalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToReconcile Context triple: [anomalous monism, aimsToReconcile, mental causation with physicalism]
-
A.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
B.
aimsToMeasure
Indicates that one entity is intended or designed to quantify, assess, or evaluate another entity or property.
-
C.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
D.
aimsToTreat
Indicates that one entity (typically an intervention, treatment, or action) is intended or designed to alleviate, cure, or manage a condition, problem, or target entity.
-
E.
reconciledWith
Indicates that two previously conflicting or estranged entities have resolved their differences and restored a state of agreement or harmony with each other.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.