Triple
T3182368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Quagmire |
E66618
|
entity |
| Predicate | toneOfStoryline |
P5869
|
FINISHED |
| Object | dark comedy |
—
|
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: dark comedy | Statement: [Brenda Quagmire, toneOfStoryline, dark comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneOfStoryline Context triple: [Brenda Quagmire, toneOfStoryline, dark comedy]
-
A.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
B.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
C.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
D.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
narrativeStyle
chosen
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bd07888190b680eace8290d821 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.