Triple
T36417262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Corpse Danced at Midnight |
E897044
|
entity |
| Predicate | fictionalPublicationType |
P69182
|
FINISHED |
| Object | crime 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: crime novel | Statement: [The Corpse Danced at Midnight, fictionalPublicationType, crime novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalPublicationType Context triple: [The Corpse Danced at Midnight, fictionalPublicationType, crime novel]
-
A.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
-
B.
fictionalPublisherType
Indicates the specific category or kind of publisher associated with a fictional work (e.g., imprint, label, or publishing division).
-
C.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
D.
fictionalArticleType
Indicates that one entity is a type or category designation assigned to a fictional article or work.
-
E.
fictionalGenre
chosen
Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 3, 2026, 4:10 p.m.