Triple

T15998360
Position Surface form Disambiguated ID Type / Status
Subject Matt Lanter E388031 entity
Predicate portrayedIn P626 FINISHED
Object Marvel Comics media E735264 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 Comics media | Statement: [Matt Lanter, portrayedIn, Marvel Comics media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel Comics media
Context triple: [Matt Lanter, portrayedIn, Marvel Comics media]
  • A. Marvel Comics
    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. 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.
  • C. COMICS
    COMICS is a mid-infrared camera and spectrograph instrument used on the Subaru Telescope for detailed astronomical imaging and spectroscopy.
  • D. Marvel
    Marvel is a surname most prominently associated with American actress Elizabeth Marvel, known for her work in film, television, and theater.
  • E. Marvel Comics adaptations chosen
    Marvel Comics adaptations are film, television, and other media projects that translate Marvel's comic book characters and storylines into live-action or animated formats for broader audiences.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.