Triple
T9802907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denny Colt |
E237882
|
entity |
| Predicate | comicStripFormat |
P16443
|
FINISHED |
| Object | newspaper insert |
—
|
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: newspaper insert | Statement: [Denny Colt, comicStripFormat, newspaper insert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicStripFormat Context triple: [Denny Colt, comicStripFormat, newspaper insert]
-
A.
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.
-
B.
hasComicSeries
Indicates that one entity is the comic series to which another entity belongs or with which it is associated.
-
C.
fictionalMedium
chosen
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
D.
comicPublisher
Indicates that one entity is the publisher responsible for producing or distributing the comic associated with another entity.
-
E.
comicStripDebutYear
Indicates the year in which a comic strip was first published or debuted.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab78832481909b184b21a8a46e50 |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.