Triple
T36189830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagwood Bumstead |
E1046955
|
entity |
| Predicate | comicStripGenre |
P185010
|
FINISHED |
| Object | humor |
—
|
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: humor | Statement: [Dagwood Bumstead, comicStripGenre, humor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicStripGenre Context triple: [Dagwood Bumstead, comicStripGenre, humor]
-
A.
comicType
Indicates the specific category or format of a comic associated with an entity (e.g., strip, graphic novel, webcomic).
-
B.
comicFunction
Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
-
C.
comicStripArtist
Indicates that one entity is the artist who creates or draws the comic strips associated with another entity.
-
D.
comicBookUniverse
Indicates that multiple comic book characters, stories, or events exist within and are governed by the same fictional continuity or shared narrative world.
-
E.
comicTitle
Indicates that one entity is the title or name of a comic associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.