Triple
T5557778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ask Jeeves |
E145688
|
entity |
| Predicate | userInteractionStyle |
P23418
|
FINISHED |
| Object | natural language questions |
—
|
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: natural language questions | Statement: [Ask Jeeves, userInteractionStyle, natural language questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userInteractionStyle Context triple: [Ask Jeeves, userInteractionStyle, natural language questions]
-
A.
userInteractionModel
chosen
Indicates how a user is expected to interact with a system, defining the style, rules, or pattern of those interactions.
-
B.
approachStyle
Indicates the manner or strategy with which one entity moves toward, engages with, or initiates interaction with another entity or target.
-
C.
userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
D.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
E.
userInterfaceStyle
Indicates the visual presentation mode or theme (such as light or dark) that the user interface is currently using or configured to use.
- 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.