Triple
T8510811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delphic maxim "know thyself" |
E201446
|
entity |
| Predicate | hasModernRelevance |
P82904
|
FINISHED |
| Object | psychological self-awareness |
—
|
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: psychological self-awareness | Statement: [Delphic maxim "know thyself", hasModernRelevance, psychological self-awareness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernRelevance Context triple: [Delphic maxim "know thyself", hasModernRelevance, psychological self-awareness]
-
A.
hasContemporaryRecognition
Indicates that an entity is currently acknowledged, honored, or widely recognized in the present time or modern era.
-
B.
hasModernRevival
Indicates that something has experienced a renewed interest, use, or popularity in modern times.
-
C.
hasViewOnModernity
Indicates that an entity holds a particular perspective, stance, or interpretation regarding modernity.
-
D.
notableModernIssue
Indicates that the subject is recognized as a significant or widely discussed issue in contemporary times.
-
E.
isModern
Indicates that something belongs to, reflects, or is characteristic of the contemporary or recent period, especially in style, design, or thinking.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe608e5b08190a6d551793e8ed94b |
completed | March 31, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:15 p.m.