Triple

T9510257
Position Surface form Disambiguated ID Type / Status
Subject Claude Berrou E229372 entity
Predicate name P16 FINISHED
Object Claude Berrou E229372 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: Claude Berrou | Statement: [Claude Berrou, name, Claude Berrou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claude Berrou
Context triple: [Claude Berrou, name, Claude Berrou]
  • A. Claude Berrou chosen
    Claude Berrou is a French engineer and researcher best known for inventing turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
  • B. Jacques Bompard
    Jacques Bompard is a French far-right politician known for his long tenure as mayor of Orange and his involvement with nationalist political movements.
  • C. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • D. Bernard Guillembet
    Bernard Guillembet was a mountaineer known for making the first recorded ascent of Vignemale in the Pyrenees.
  • E. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e343941ae481909489cf7a4abdba68 completed April 18, 2026, 8:40 a.m.
Created at: March 30, 2026, 7:58 p.m.