Triple
T12503550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tetrapharmakos |
E298888
|
entity |
| Predicate | maxim |
P105032
|
FINISHED |
| Object | Do not fear god |
—
|
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: Do not fear god | Statement: [tetrapharmakos, maxim, Do not fear god]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxim Context triple: [tetrapharmakos, maxim, Do not fear god]
-
A.
maximizedUnder
Indicates that a quantity, value, or objective reaches its greatest possible level subject to specified conditions or constraints.
-
B.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
C.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified conditions.
-
D.
maximumBrightness
Indicates the highest level of brightness that an entity can reach or exhibit.
-
E.
definesMaximum
Indicates that one entity specifies or sets the upper limit or greatest allowable value for 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d43b7008190af2648fe09fd6d23 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94db34610819089a686c0ee7a9c18 |
completed | April 10, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.