Triple

T22119751
Position Surface form Disambiguated ID Type / Status
Subject Kys (The Slynx) E546633 entity
Predicate translatedTitle P6688 FINISHED
Object The Slynx 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: The Slynx | Statement: [Kys (The Slynx), translatedTitle, The Slynx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Slynx
Context triple: [Kys (The Slynx), translatedTitle, The Slynx]
  • A. The Slynx chosen
    The Slynx is a post-apocalyptic dystopian novel by Russian writer Tatyana Tolstaya that blends dark satire, folklore, and philosophical reflection on language and power.
  • B. Kys (The Slynx)
    Kys (The Slynx) is a post-apocalyptic dystopian novel by Russian author Tatyana Tolstaya that satirically explores language, power, and cultural memory in a ruined future Russia.
  • C. The Fox
    The Fox is a film featuring Sydney Chaplin, the son of legendary comedian and filmmaker Charlie Chaplin.
  • D. The Fox
    The Fox is an Iranian film directed by Mani Haghighi, known for its blend of dark humor and social commentary within contemporary Iranian cinema.
  • E. The Fox
    The Fox is a masked vigilante hero from early 20th-century California, best known for fighting injustice with cunning, swordplay, and a distinctive black costume and mask.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.