Triple

T8433631
Position Surface form Disambiguated ID Type / Status
Subject Shuri E199172 entity
Predicate basedOn P98 FINISHED
Object Shuri (Marvel Comics) E199172 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: Shuri (Marvel Comics) | Statement: [Shuri, basedOn, Shuri (Marvel Comics)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shuri (Marvel Comics)
Context triple: [Shuri, basedOn, Shuri (Marvel Comics)]
  • A. Shuri
    Shuri is a historic town on Okinawa Island best known as the former royal capital of the Ryukyu Kingdom and the site of Shuri Castle.
  • B. Shuri chosen
    Shuri is a brilliant Wakandan princess and tech genius in the Marvel Cinematic Universe, known especially for her cutting-edge inventions and support of Black Panther.
  • C. Monica Rambeau
    Monica Rambeau is a Marvel Comics superhero and S.W.O.R.D. agent who gains energy-based powers and becomes a key figure in the Marvel Cinematic Universe.
  • D. Maria Rambeau
    Maria Rambeau is a skilled U.S. Air Force pilot and close friend of Carol Danvers in the Marvel Cinematic Universe, prominently featured in the film "Captain Marvel."
  • E. Scarlet Witch
    Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a74d948190abd76e7a6efb42ec completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d71d9748190903ed97dde6d28f4 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.