Triple
T2557780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeeves and the Wedding Bells |
E56767
|
entity |
| Predicate | literaryRelation |
P29936
|
FINISHED |
| Object | continuation of Jeeves and Wooster stories |
—
|
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: continuation of Jeeves and Wooster stories | Statement: [Jeeves and the Wedding Bells, literaryRelation, continuation of Jeeves and Wooster stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryRelation Context triple: [Jeeves and the Wedding Bells, literaryRelation, continuation of Jeeves and Wooster stories]
-
A.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
B.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
C.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
D.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
E.
hasLiteraryConnection
chosen
Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.