Triple

T7545353
Position Surface form Disambiguated ID Type / Status
Subject Manosque E178386 entity
Predicate notablePerson P304 FINISHED
Object Jean Giono E666129 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: Jean Giono | Statement: [Manosque, notablePerson, Jean Giono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Giono
Context triple: [Manosque, notablePerson, Jean Giono]
  • A. Jean Giono chosen
    Jean Giono was a 20th-century French novelist known for his lyrical, nature-focused prose and works set in rural Provence.
  • B. Jules Renard
    Jules Renard was a French writer and diarist best known for his novel "Poil de Carotte" and his incisive, introspective journals.
  • C. Jean Tournier
    Jean Tournier was a French cinematographer known for his work on notable films including the political thriller "The Day of the Jackal."
  • D. Claude Simon
    Claude Simon was a French novelist and key figure of the Nouveau Roman movement, known for his experimental narrative style and complex, fragmented prose.
  • E. André Malraux
    André Malraux was a prominent 20th-century French novelist, art theorist, and statesman closely associated with Charles de Gaulle and known for his influential role in shaping modern French cultural policy.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.