Triple
T37716142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vision (Jonas) |
E939456
|
entity |
| Predicate | debutInComics |
P126349
|
FINISHED |
| Object | Young Avengers #5 |
—
|
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: Young Avengers #5 | Statement: [Vision (Jonas), debutInComics, Young Avengers #5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutInComics Context triple: [Vision (Jonas), debutInComics, Young Avengers #5]
-
A.
comicsDebut
chosen
Indicates the work, issue, or publication in which an entity first appeared in comics.
-
B.
comicStripDebutIn
Indicates the date, publication, or context in which a comic strip was first introduced or published.
-
C.
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.
-
D.
comicStripDebutYear
Indicates the year in which a comic strip was first published or debuted.
-
E.
firstAppearanceInComicsIssue
Indicates the specific comic book issue in which an entity (such as a character or item) is depicted for the first time.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:18 p.m.