Triple
T28665181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem’s Lot (upcoming film adaptation) |
E725567
|
entity |
| Predicate | sourceMaterialPublicationType |
P218
|
FINISHED |
| Object | 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: novel | Statement: [Salem’s Lot (upcoming film adaptation), sourceMaterialPublicationType, novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceMaterialPublicationType Context triple: [Salem’s Lot (upcoming film adaptation), sourceMaterialPublicationType, novel]
-
A.
sourceMaterialPublication
Indicates that a publication is the original source in which a given material, content, or work was first published or described.
-
B.
publicationTypeOf
Indicates that one entity specifies the type or category of publication to which another publication entity belongs.
-
C.
publicationType
chosen
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
D.
publicationTypeOfPresenter
Indicates the type or category of publication associated with a given presenter.
-
E.
isAcademicPublicationOf
Indicates that one entity is an academic publication (e.g., paper, article, or report) that has been produced by or is associated with 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 5 a.m.