Triple
T36282500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamala Khan |
E892975
|
entity |
| Predicate | debutAsMsMarvelYear |
P187091
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Kamala Khan, debutAsMsMarvelYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutAsMsMarvelYear Context triple: [Kamala Khan, debutAsMsMarvelYear, 2014]
-
A.
marvelCinematicUniverseDebutFilm
Indicates the film in which an entity (such as a character or actor) first appeared within the Marvel Cinematic Universe.
-
B.
comicsDebut
Indicates the work, issue, or publication in which an entity first appeared in comics.
-
C.
releaseYearOfMarvelettesVersion
Indicates the year in which the Marvelettes' version of a work was released.
-
D.
workDateOfFirstAppearance
Indicates the date on which a work first appeared, was released, or was made publicly available.
-
E.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:09 p.m.