Triple

T20780661
Position Surface form Disambiguated ID Type / Status
Subject Kitty Pryde E511470 entity
Predicate romanticRelationship P9994 FINISHED
Object Colossus NE NERFINISHED

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: Colossus | Statement: [Kitty Pryde, romanticRelationship, Colossus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colossus
Context triple: [Kitty Pryde, romanticRelationship, Colossus]
  • A. Colossus chosen
    Colossus is a powerful Russian mutant superhero from Marvel's X-Men comics, known for transforming his body into organic steel to gain immense strength and durability.
  • B. Colossus
    Colossus is a towering Protoss war machine from the StarCraft universe, known for its long-range thermal lances that devastate clustered ground forces.
  • C. Colossus
    Colossus is a steel roller coaster at Thorpe Park in the UK, renowned for being the world's first coaster to feature ten inversions.
  • D. Colossus
    Colossus is a towering, powerful figure often depicted as a massive humanoid construct or giant, symbolizing immense strength and scale.
  • E. Colossus computers
    Colossus computers were pioneering British electronic computing machines built during World War II to help decrypt high-level German communications at Bletchley Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26f99b88190a84a6889834e1e96 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.