Triple

T3497598
Position Surface form Disambiguated ID Type / Status
Subject Joris-Karl Huysmans E73888 entity
Predicate notableWork P4 FINISHED
Object À rebours E280068 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: À rebours | Statement: [Joris-Karl Huysmans, notableWork, À rebours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: À rebours
Context triple: [Joris-Karl Huysmans, notableWork, À rebours]
  • A. À rebours chosen
    À rebours is an 1884 novel by Joris-Karl Huysmans that became a seminal work of the Decadent movement, famed for its portrayal of an eccentric aristocrat’s extreme aestheticism and rejection of conventional morality.
  • B. Le Reculet
    Le Reculet is one of the highest summits in eastern France, known for its panoramic views over the surrounding Jura range and the Alps.
  • C. La Tournette
    La Tournette is a prominent peak in the French Alps known for its panoramic views over Lake Annecy and popular hiking routes.
  • D. Loin des hommes
    Loin des hommes is a French drama film set in 1950s Algeria that explores themes of colonialism, morality, and human connection amid the Algerian War.
  • E. La Valise
    La Valise is a French comedy film best known for featuring actor Jean-Pierre Marielle in a prominent role.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.