Triple

T14461661
Position Surface form Disambiguated ID Type / Status
Subject Lucha Underground E358596 entity
Predicate featuresCharacter P626 FINISHED
Object Catrina E734664 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: Catrina | Statement: [Lucha Underground, featuresCharacter, Catrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catrina
Context triple: [Lucha Underground, featuresCharacter, Catrina]
  • A. Catrina chosen
    Catrina is a feminine given name, commonly used as a variant of names like Catriona or Katrina in various European and English-speaking cultures.
  • B. Katrina Crane
    Katrina Crane is a powerful witch and Ichabod Crane’s wife in the supernatural drama TV series "Sleepy Hollow."
  • C. Celeste Kane
    Celeste Kane is a character from the television series "Veronica Mars," known as the wealthy and often cold mother of Duncan Kane in the fictional town of Neptune, California.
  • D. Karla
    Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
  • E. Karla
    Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.