Triple
T32245093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life/Art Process |
E823723
|
entity |
| Predicate | methodEmphasis |
P17414
|
FINISHED |
| Object | process over product |
—
|
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: process over product | Statement: [Life/Art Process, methodEmphasis, process over product]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodEmphasis Context triple: [Life/Art Process, methodEmphasis, process over product]
-
A.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
emphasizesAbility
Indicates that one entity highlights, stresses, or draws special attention to the capability or skill of another entity.
-
C.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
D.
marketingNameEmphasizes
Indicates that a marketing name highlights or draws special attention to a particular feature, attribute, or aspect of something.
-
E.
designEmphasizes
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:40 a.m.