Triple

T9604316
Position Surface form Disambiguated ID Type / Status
Subject Agamotto E231930 entity
Predicate appearsIn P795 FINISHED
Object Marvel comic books E57939 NE 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: Marvel comic books | Statement: [Agamotto, appearsIn, Marvel comic books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel comic books
Context triple: [Agamotto, appearsIn, 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 New Media
    Marvel New Media is Marvel Entertainment’s digital content and production arm, creating online video, podcasts, and other multimedia focused on Marvel characters and stories.
  • D. DC Comics
    DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
  • E. EC Comics
    EC Comics was an influential American comic book publisher best known for its groundbreaking horror, crime, war, and satire titles that pushed creative and censorship boundaries in the 1940s and 1950s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5cddf481909aa6b589bcb3e71a completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179328de48190832f326462a914d5 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.