Triple
T37230252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugs Bunny |
E923109
|
entity |
| Predicate | typicalAccent |
P14722
|
FINISHED |
| Object | Brooklyn accent |
—
|
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: Brooklyn accent | Statement: [Bugs Bunny, typicalAccent, Brooklyn accent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAccent Context triple: [Bugs Bunny, typicalAccent, Brooklyn accent]
-
A.
speaksWithAccentWhenUsing
Indicates that an entity consistently uses a particular accent when using a specified language, medium, or communication mode.
-
B.
hasAccent
chosen
Indicates that an entity speaks with or possesses a particular accent or distinctive pronunciation style.
-
C.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
typicalAlpha
Indicates that an entity exhibits the characteristic or behavior considered standard or representative (i.e., “typical”) for a given group, category, or context.
-
E.
accentStyle
Indicates the manner or pattern in which an entity’s accent or emphasis is applied or presented.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.