Triple
T8800229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lessons in Life and Business |
E209386
|
entity |
| Predicate | subtitleOfWorkGenre |
P71102
|
FINISHED |
| Object | non-fiction |
—
|
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: non-fiction | Statement: [Lessons in Life and Business, subtitleOfWorkGenre, non-fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subtitleOfWorkGenre Context triple: [Lessons in Life and Business, subtitleOfWorkGenre, non-fiction]
-
A.
secondaryGenre
chosen
Indicates that an entity (such as a work or item) has an additional, non-primary genre classification associated with it.
-
B.
subgenre
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
C.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
D.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb8aab88190befed16301e08efc |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.