Triple

T17340614
Position Surface form Disambiguated ID Type / Status
Subject Small Change E421055 entity
Predicate screenwriter P2831 FINISHED
Object Jean Aurel NE ONNED1

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 Aurel | Statement: [Small Change, screenwriter, Jean Aurel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Aurel
Context triple: [Small Change, screenwriter, Jean Aurel]
  • A. Jean Aurel chosen
    Jean Aurel was a French screenwriter and film director known for his collaborations with François Truffaut and contributions to mid-20th-century French cinema.
  • B. Jean Forestier
    Jean Forestier is a former French professional road cyclist known for his successes in major European races during the 1950s and 1960s.
  • C. Georges-Henri
    Georges-Henri is a French given name most notably borne by architect and urban planner Georges-Henri Pingusson.
  • D. François Thomas Tréhouart
    François Thomas Tréhouart was a 19th-century French naval officer who rose to the highest rank in the French Navy and played a significant role in France’s maritime military history.
  • E. Jean-Édouard
    Jean-Édouard is the given name of Édouard Vuillard, a prominent French painter and printmaker associated with the Nabis group and known for his intimate interior scenes.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019552a0208190bd8bd0f9588911c3 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.