Triple

T11314458
Position Surface form Disambiguated ID Type / Status
Subject Otto Leipzig E267928 entity
Predicate associatedWith P37 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: [Otto Leipzig, associatedWith, Karla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karla
Context triple: [Otto Leipzig, associatedWith, 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a910a2c8190b8afd4c988e64141 completed April 19, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:32 p.m.