Triple
T24308733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie M. Banks |
E612606
|
entity |
| Predicate | notedForInUniverse |
P155510
|
FINISHED |
| Object | bestselling romantic novels |
—
|
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: bestselling romantic novels | Statement: [Rosie M. Banks, notedForInUniverse, bestselling romantic novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notedForInUniverse Context triple: [Rosie M. Banks, notedForInUniverse, bestselling romantic novels]
-
A.
notedIn
Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
-
B.
notableFandom
Indicates that an entity is significantly recognized for having a dedicated or prominent fan base centered around it.
-
C.
isNotedOn
Indicates that information about one entity is recorded, mentioned, or annotated on another entity (such as a document, record, or medium).
-
D.
inspiredByInUniverse
Indicates that one fictional element within a narrative is the in-universe inspiration or creative source for another fictional element in the same narrative world.
-
E.
notableCanon
Indicates that the subject is a significant or widely recognized part of the established canon associated with the object.
- F. None of above. chosen
Provenance (4 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29228ede48190b05c85320f373155 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:32 a.m.