Triple
T27409111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deanna Dwyer |
E692091
|
entity |
| Predicate | fieldOfWorkOfRealName |
P3
|
FINISHED |
| Object | suspense 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: suspense fiction | Statement: [Deanna Dwyer, fieldOfWorkOfRealName, suspense fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfWorkOfRealName Context triple: [Deanna Dwyer, fieldOfWorkOfRealName, suspense fiction]
-
A.
fieldOfWork
chosen
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
B.
VueltabajoKnownFor
Indicates that Vueltabajo is widely recognized or notable for a particular characteristic, product, or feature.
-
C.
laterCareerWorkOf
Indicates that one work represents a creator’s later career output in relation to another work or to their overall body of work.
-
D.
workRelatedTo
Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
-
E.
workRepresented
Indicates that one entity is a representation (such as a depiction, adaptation, or portrayal) of another work.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 12:31 p.m.