Triple
T5557758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ask Jeeves |
E145688
|
entity |
| Predicate | mascotDescription |
P40901
|
FINISHED |
| Object | virtual butler character |
—
|
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: virtual butler character | Statement: [Ask Jeeves, mascotDescription, virtual butler character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mascotDescription Context triple: [Ask Jeeves, mascotDescription, virtual butler character]
-
A.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
B.
typeOfMascot
Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
-
C.
coMascot
Indicates that two entities serve together as mascots for the same organization, event, or group.
-
D.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
E.
mascotStatus
chosen
Indicates the role or designation of an entity as a mascot, such as whether and how it serves as a symbolic representative.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffe12cc81908186f28ace0f4d82 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.