Triple
T7715684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steeple Bumpleigh |
E174873
|
entity |
| Predicate | settingForCharacter |
P69017
|
FINISHED |
| Object | Bertie Wooster’s visit to Aunt Agatha |
—
|
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: Bertie Wooster’s visit to Aunt Agatha | Statement: [Steeple Bumpleigh, settingForCharacter, Bertie Wooster’s visit to Aunt Agatha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingForCharacter Context triple: [Steeple Bumpleigh, settingForCharacter, Bertie Wooster’s visit to Aunt Agatha]
-
A.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
B.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
-
C.
character3
Indicates a tertiary or additional character role associated with an entity, typically the third distinct character linked within a given context or work.
-
D.
settingRole
chosen
Indicates that an entity functions in a particular contextual or environmental role within a given setting or situation.
-
E.
developmentCharacter
Indicates a relationship where one entity contributes to or influences the growth, formation, or evolution of another entity’s characteristics or qualities.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.