Triple
T22247472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Educate the mind to think, the heart to feel, and the body to act |
E549881
|
entity |
| Predicate | componentBody |
P147538
|
FINISHED |
| Object | the body to act |
—
|
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: the body to act | Statement: [Educate the mind to think, the heart to feel, and the body to act, componentBody, the body to act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentBody Context triple: [Educate the mind to think, the heart to feel, and the body to act, componentBody, the body to act]
-
A.
componentElement
Indicates that one entity is a constituent or part of another, larger entity or structure.
-
B.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
-
C.
component3
Indicates that one entity is the third component or sub-part within a larger composite structure or system involving another entity.
-
D.
bodyCode
Indicates that an entity is assigned a specific body-related code used to classify or identify its physical form or condition.
-
E.
definedBody
Indicates that one entity serves as the formal specification, content, or body definition of another entity.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13219dc3481908dd987c4e98623e6 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:38 p.m.