Triple
T24847885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the narrator |
E621806
|
entity |
| Predicate | reflectsOnTheme |
P157408
|
FINISHED |
| Object | human nature |
—
|
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: human nature | Statement: [the narrator, reflectsOnTheme, human nature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsOnTheme Context triple: [the narrator, reflectsOnTheme, human nature]
-
A.
reflectsOnTheme
chosen
Indicates that one entity critically considers, analyzes, or comments on the theme expressed or embodied by another entity.
-
B.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
C.
usesThemeBy
Indicates that one entity incorporates, applies, or is based on a theme that was created, defined, or provided by another entity.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
followsTheme
Indicates that one entity adheres to, is guided by, or is structured according to the theme established by another entity.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:20 a.m.