Triple
T20698365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ms. Marvel (Carol Danvers) |
E508712
|
entity |
| Predicate | firstMsMarvelAppearanceYear |
P121574
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [Ms. Marvel (Carol Danvers), firstMsMarvelAppearanceYear, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMsMarvelAppearanceYear Context triple: [Ms. Marvel (Carol Danvers), firstMsMarvelAppearanceYear, 1977]
-
A.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
B.
marvelCinematicUniverseDebutFilm
Indicates the film in which an entity (such as a character or actor) first appeared within the Marvel Cinematic Universe.
-
C.
yearOfFirstApparition
chosen
Indicates the calendar year in which the entity first appeared or was introduced.
-
D.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
-
E.
airDateOfFirstAppearance
Indicates the calendar date on which an entity (such as a character, show, or episode) was first broadcast or made publicly available.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c113e4cc8190aabc11e3f2530e32 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:11 p.m.