Triple

T10442490
Position Surface form Disambiguated ID Type / Status
Subject Nadia E246202 entity
Predicate hasVariant P455 FINISHED
Object Nadja E532252 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: Nadja | Statement: [Nadia, hasVariant, Nadja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadja
Context triple: [Nadia, hasVariant, Nadja]
  • A. Nadja chosen
    Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
  • B. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • C. Aimée Thanatogenos
    Aimée Thanatogenos is a naive and idealistic young cosmetician at a Los Angeles funeral home in Evelyn Waugh’s satirical novel "The Loved One."
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.