Triple
T26311167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles "Biffy" Biffen |
E661824
|
entity |
| Predicate | inhabitsFictionalUniverse |
P79039
|
FINISHED |
| Object | Jeeves and Wooster universe |
—
|
NE NERFINISHED |
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: Jeeves and Wooster universe | Statement: [Charles "Biffy" Biffen, inhabitsFictionalUniverse, Jeeves and Wooster universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inhabitsFictionalUniverse Context triple: [Charles "Biffy" Biffen, inhabitsFictionalUniverse, Jeeves and Wooster universe]
-
A.
hasFictionalInhabitants
Indicates that a place or setting is inhabited by fictional or imaginary beings.
-
B.
hasFictionalUniverseProperty
Indicates that a fictional universe possesses a specific characteristic, attribute, or property.
-
C.
hasFictionalUniverseElement
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
-
D.
activeInFictionalUniverse
chosen
Indicates that an entity participates, operates, or has a role within a specified fictional universe or setting.
-
E.
hasFictionalUniverseType
Indicates that an entity is associated with, or belongs to, a particular type or category of fictional universe.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee7e6348190951e6f9647f5555b |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:22 p.m.