Triple

T21005152
Position Surface form Disambiguated ID Type / Status
Subject Oscorp E517394 entity
Predicate appearsInMedium P795 FINISHED
Object Marvel comic books 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 comic books | Statement: [Oscorp, appearsInMedium, Marvel comic books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel comic books
Context triple: [Oscorp, appearsInMedium, Marvel comic books]
  • A. Marvel Comics chosen
    Marvel Comics is a major American comic book publisher best known for creating the Marvel Universe, home to iconic superheroes such as Spider-Man, Iron Man, the X-Men, and Captain America.
  • B. COMICS
    COMICS is a mid-infrared camera and spectrograph instrument used on the Subaru Telescope for detailed astronomical imaging and spectroscopy.
  • C. Marvel
    Marvel is a surname most prominently associated with American actress Elizabeth Marvel, known for her work in film, television, and theater.
  • D. Marvels
    Marvels is a critically acclaimed comic book miniseries that reexamines key events in the Marvel Universe through the eyes of ordinary people, renowned for its realistic painted artwork by Alex Ross.
  • E. ComicsAndGraphicNovels
    ComicsAndGraphicNovels is a narrative art medium that combines sequential visual panels with text to tell stories across genres such as superheroes, fantasy, memoir, and literary fiction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3b25ec8190aa4530d1f0bb2b9e completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.