Triple
T29081895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Warlock |
E734003
|
entity |
| Predicate | firstAppearanceAsAdamWarlock |
P78612
|
FINISHED |
| Object | Marvel Premiere #1 |
—
|
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: Marvel Premiere #1 | Statement: [Adam Warlock, firstAppearanceAsAdamWarlock, Marvel Premiere #1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceAsAdamWarlock Context triple: [Adam Warlock, firstAppearanceAsAdamWarlock, Marvel Premiere #1]
-
A.
airDateOfFirstAppearance
Indicates the calendar date on which an entity (such as a character, show, or episode) was first broadcast or made publicly available.
-
B.
firstAppearanceInComicsIssue
chosen
Indicates the specific comic book issue in which an entity (such as a character or item) is depicted for the first time.
-
C.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
-
D.
firstAppearanceInLegendarium
Indicates the work or source within a fictional legendarium in which an entity is introduced or mentioned for the first time.
-
E.
debutAsMsMarvelYear
Indicates the year in which an entity first debuted in the role or identity of Ms. Marvel.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a00818b20a881909fbf3bb33dcf7029 |
completed | May 10, 2026, 1 p.m. |
| PD | Predicate disambiguation | batch_6a0080f76f588190a933238861243d1a |
completed | May 10, 2026, 12:58 p.m. |
Created at: April 28, 2026, 10:56 a.m.