Triple

T3361296
Position Surface form Disambiguated ID Type / Status
Subject Gustave Flaubert E70725 entity
Predicate familyName P18 FINISHED
Object Flaubert E70725 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: Flaubert | Statement: [Gustave Flaubert, familyName, Flaubert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flaubert
Context triple: [Gustave Flaubert, familyName, Flaubert]
  • A. Gustave Flaubert chosen
    Gustave Flaubert was a 19th-century French novelist renowned for his meticulous style and his seminal realist work "Madame Bovary."
  • B. Honoré de Balzac
    Honoré de Balzac was a 19th-century French novelist and playwright best known for his vast interconnected series of novels and stories, "La Comédie Humaine," which offers a detailed, panoramic portrayal of French society.
  • C. Jean-Louis Guez de Balzac
    Jean-Louis Guez de Balzac was a 17th-century French writer and stylist renowned for his influential letters, which helped shape classical French prose.
  • D. Bernard-François Balzac
    Bernard-François Balzac was a French civil servant and administrator best known as the father of the novelist Honoré de Balzac.
  • E. Stendhal
    Stendhal was a 19th-century French writer best known for his psychologically incisive realist novels such as "The Red and the Black" and "The Charterhouse of Parma."
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb267ec1081909a4e3e227d5bad01 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d6cd9c81908acb288091503ec1 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:13 p.m.