Triple
T36189856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagwood Bumstead |
E1046955
|
entity |
| Predicate | comicReliefType |
P43839
|
FINISHED |
| Object | domestic 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: domestic comedy | Statement: [Dagwood Bumstead, comicReliefType, domestic comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicReliefType Context triple: [Dagwood Bumstead, comicReliefType, domestic comedy]
-
A.
comicFunction
chosen
Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
-
B.
comfortsCharacter
Indicates that one character provides emotional support or consolation to another character.
-
C.
comicTheme
Indicates that something (such as a work, scene, or element) centers around or is characterized by a humorous or comic theme.
-
D.
cultCharacter
Indicates that one entity is a character who is venerated, worshipped, or centrally revered within the cult associated with the other entity.
-
E.
comicType
Indicates the specific category or format of a comic associated with an entity (e.g., strip, graphic novel, webcomic).
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.