Triple
T29638059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Garden of Weapons |
E755776
|
entity |
| Predicate | isInLiteraryCategory |
P144245
|
FINISHED |
| Object | British spy novel |
—
|
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: British spy novel | Statement: [The Garden of Weapons, isInLiteraryCategory, British spy novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInLiteraryCategory Context triple: [The Garden of Weapons, isInLiteraryCategory, British spy novel]
-
A.
literaryGenreOfWorkAppearedIn
chosen
Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
-
B.
hasLiteraryForm
Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
-
C.
hasLiteraryStandard
Indicates that one entity defines, specifies, or embodies the accepted literary norm or standard used by another entity.
-
D.
hasLiteraryMode
Indicates that a work, text, or expression is associated with a particular literary mode (such as satire, realism, or allegory) that characterizes its style or narrative approach.
-
E.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66ecb9c348190ad7a99d6ea5920d8 |
completed | May 2, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:45 p.m.