Triple
T29991351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike and Ike (They Look Alike) |
E761887
|
entity |
| Predicate | hasCartoonist |
P177846
|
FINISHED |
| Object | Rube Goldberg |
—
|
NE NERFINISHED |
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: Rube Goldberg | Statement: [Mike and Ike (They Look Alike), hasCartoonist, Rube Goldberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCartoonist Context triple: [Mike and Ike (They Look Alike), hasCartoonist, Rube Goldberg]
-
A.
hasNotableCartoonist
Indicates that an entity is associated with a cartoonist who is recognized as notable or distinguished.
-
B.
comicArtistOfSource
chosen
Indicates that one entity is the comic artist responsible for creating the artwork for the specified source (such as a comic, issue, or publication).
-
C.
illustratorOf
Indicates that one entity serves as the illustrator or creator of the visual artwork for another entity, such as a book, article, or other work.
-
D.
hasFictionalAuthor
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
-
E.
comicStripArtist
Indicates that one entity is the artist who creates or draws the comic strips associated with another entity.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 29, 2026, 6:38 p.m.