Triple

T3234622
Position Surface form Disambiguated ID Type / Status
Subject Les Rougon-Macquart E67822 entity
Predicate hasPart P35 FINISHED
Object L’Œuvre E69632 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: L’Œuvre | Statement: [Les Rougon-Macquart, hasPart, L’Œuvre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Œuvre
Context triple: [Les Rougon-Macquart, hasPart, L’Œuvre]
  • A. L’Œuvre chosen
    L’Œuvre is a naturalist novel by Émile Zola that portrays the struggles of an ambitious painter in Paris whose obsessive pursuit of artistic perfection leads to personal and professional ruin.
  • B. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • C. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • D. La Moisson
    La Moisson is a painting by French Post-Impressionist artist Émile Bernard, exemplifying his early synthetist style and interest in rural, agrarian themes.
  • E. L’Aube
    L’Aube is the original French title of Elie Wiesel’s novel "Dawn," which explores a young Holocaust survivor’s moral struggle as he prepares to execute a British officer in postwar Palestine.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaede0bdc8190a466f11bf2c50836 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277404f6c8190803cf67cc8423430 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.