Triple

T994464
Position Surface form Disambiguated ID Type / Status
Subject Disney+ E21464 entity
Predicate contentFrom P17306 FINISHED
Object Marvel E32165 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 | Statement: [Disney+, contentFrom, Marvel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel
Context triple: [Disney+, contentFrom, Marvel]
  • 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 Studios chosen
    Marvel Studios is a major American film and television production company best known for creating the Marvel Cinematic Universe of interconnected superhero movies and series.
  • C. Marvel Television
    Marvel Television was a division of Marvel Entertainment responsible for developing and producing television series and related content based on Marvel Comics 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. DCU
    DCU is the common abbreviation for D.C. United, a professional Major League Soccer club based in Washington, D.C.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7570b388190ada9693935792a58 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac25919bcc8190886f19405536681b completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.