Triple

T11433005
Position Surface form Disambiguated ID Type / Status
Subject Karla Redding E270933 entity
Predicate givenName P17 FINISHED
Object Karla E243971 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: Karla | Statement: [Karla Redding, givenName, Karla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karla
Context triple: [Karla Redding, givenName, Karla]
  • A. Karla chosen
    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.
  • B. Karla
    Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
  • C. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • D. Kara Knack
    Kara Knack is best known as the former wife of American actor Pernell Roberts, who starred as Adam Cartwright on the classic TV series "Bonanza."
  • E. Jeremiah Valeska
    Jeremiah Valeska is a major antagonist in the TV series "Gotham," known as one of the show's Joker-inspired villains and the twin brother of Jerome Valeska.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c30d788190b0c939b33de89277 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d379f8d48190860a1ef98505c42e completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.