Triple
T29587089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Idyll in the Rue Plumet and the Epic in the Rue Saint-Denis (Volume IV) |
E754047
|
entity |
| Predicate | literaryGenreOfWorkPart |
P22130
|
FINISHED |
| Object | novel segment |
—
|
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: novel segment | Statement: [The Idyll in the Rue Plumet and the Epic in the Rue Saint-Denis (Volume IV), literaryGenreOfWorkPart, novel segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryGenreOfWorkPart Context triple: [The Idyll in the Rue Plumet and the Epic in the Rue Saint-Denis (Volume IV), literaryGenreOfWorkPart, novel segment]
-
A.
literaryGenreOfWork
chosen
Indicates that a work belongs to or is classified under a particular literary genre.
-
B.
literaryGenreOfWorkAppearedIn
Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
-
C.
literaryGenreOfSourceWork
Indicates that a work belongs to, or is characterized by, a particular literary genre.
-
D.
literaryWorkInStory
Indicates that one literary work is referenced, featured, or embedded within the narrative of another story.
-
E.
literaryGenreAssociated
Indicates that there is an association between an entity and a particular literary genre with which it is related or classified.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 6:11 p.m.