Triple
T36282499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamala Khan |
E892975
|
entity |
| Predicate | debutAsMsMarvel |
P129598
|
FINISHED |
| Object |
Ms. Marvel Vol. 3 #1
Ms. Marvel Vol. 3 #1 is the 2014 Marvel Comics issue that launches Kamala Khan’s solo series, introducing her as the new, Pakistani American teenage Ms. Marvel from Jersey City.
|
E257369
|
NE FINISHED |
How this triple was built (3 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: Ms. Marvel Vol. 3 #1 | Statement: [Kamala Khan, debutAsMsMarvel, Ms. Marvel Vol. 3 #1]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ms. Marvel Vol. 3 #1 Triple: [Kamala Khan, debutAsMsMarvel, Ms. Marvel Vol. 3 #1]
Generated description
Ms. Marvel Vol. 3 #1 is the 2014 Marvel Comics issue that launches Kamala Khan’s solo series, introducing her as the new, Pakistani American teenage Ms. Marvel from Jersey City.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutAsMsMarvel Context triple: [Kamala Khan, debutAsMsMarvel, Ms. Marvel Vol. 3 #1]
-
A.
marvelCinematicUniverseDebutFilm
Indicates the film in which an entity (such as a character or actor) first appeared within the Marvel Cinematic Universe.
-
B.
debutAs
chosen
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
C.
comicsDebut
Indicates the work, issue, or publication in which an entity first appeared in comics.
-
D.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
E.
madeWWEDebutAs
Indicates the role, persona, or capacity in which an individual first appeared in WWE.
- F. None of above.
Provenance (6 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_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a396e196e5c8190935a98180bdf1fe0 |
completed | June 22, 2026, 5:17 p.m. |
| NEDg | Description generation | batch_6a396fe4e80c81909bb4e20087f46214 |
completed | June 22, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3972b9e1208190896dd528ca98bbbc |
completed | June 22, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:09 p.m.