Triple

T11261160
Position Surface form Disambiguated ID Type / Status
Subject Red Room E266561 entity
Predicate associatedCharacter P12208 FINISHED
Object Red Guardian E344094 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: Red Guardian | Statement: [Red Room, associatedCharacter, Red Guardian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Guardian
Context triple: [Red Room, associatedCharacter, Red Guardian]
  • A. Red Guardian chosen
    Red Guardian is a Soviet super-soldier and Russia's counterpart to Captain America in Marvel Comics and the Marvel Cinematic Universe.
  • B. Yuri Onufrienko
    Yuri Onufrienko is a Russian cosmonaut and former commander of both Mir and International Space Station expeditions.
  • C. White Guardian
    The White Guardian is a powerful cosmic being in the Doctor Who universe who embodies order and balance in contrast to the chaotic Black Guardian.
  • D. Alexei Shostakov (Marvel Comics)
    Alexei Shostakov (Marvel Comics) is a Russian super-soldier and spy best known as the Red Guardian, a Soviet counterpart to Captain America and the former husband of Natasha Romanoff (Black Widow).
  • E. Strucker
    Strucker is a fictional antagonist, often depicted as a powerful and dangerous foe in comic book and related media storylines.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94c066c8190be1e032eb328e5fe completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccba233481909f00ebe2237c4f0c completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.