Triple
T35186060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernie Bushmiller |
E1015985
|
entity |
| Predicate | yearAwardedHumorComicStripAward |
P182590
|
FINISHED |
| Object | 1961 |
—
|
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: 1961 | Statement: [Ernie Bushmiller, yearAwardedHumorComicStripAward, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAwardedHumorComicStripAward Context triple: [Ernie Bushmiller, yearAwardedHumorComicStripAward, 1961]
-
A.
comicStripDebutYear
Indicates the year in which a comic strip was first published or debuted.
-
B.
comicStripArtist
Indicates that one entity is the artist who creates or draws the comic strips associated with another entity.
-
C.
HugoAwardBestGraphicStoryWins
Indicates that an entity has won the Hugo Award for Best Graphic Story.
-
D.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
E.
comicDebutYear
Indicates the year in which a comic-related entity (such as a character, series, or creator) first appeared or debuted in a comic publication.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.