Triple
T5232898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Analects |
E118151
|
entity |
| Predicate | hasMajorTheme |
P6627
|
FINISHED |
| Object | ethical self-cultivation |
—
|
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: ethical self-cultivation | Statement: [Analects, hasMajorTheme, ethical self-cultivation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorTheme Context triple: [Analects, hasMajorTheme, ethical self-cultivation]
-
A.
hasCentralTheme
chosen
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
B.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
C.
hasMajorTitle
Indicates that an entity holds or has been awarded a significant, high-prestige title or championship.
-
D.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
E.
notableTheme
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.