Triple

T15989643
Position Surface form Disambiguated ID Type / Status
Subject Cloudera E387790 entity
Predicate foundedBy P104 FINISHED
Object Christophe Bisciglia E1138623 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: Christophe Bisciglia | Statement: [Cloudera, foundedBy, Christophe Bisciglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christophe Bisciglia
Context triple: [Cloudera, foundedBy, Christophe Bisciglia]
  • A. Christophe Bisciglia chosen
    Christophe Bisciglia is a computer scientist and entrepreneur best known as a co-founder of Cloudera and an early leader in bringing large-scale data processing and Hadoop-based technologies to industry and education.
  • B. Christophe Pélissier
    Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
  • C. Christophe Le Friant
    Christophe Le Friant is a French DJ, record producer, and remixer best known under his stage name Bob Sinclar, a prominent figure in the international house music scene.
  • D. Christophe Malavoy
    Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
  • E. Christophe Beaucarne
    Christophe Beaucarne is a Belgian cinematographer known for his visually refined work on European art-house and mainstream films.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157829ec08190aa4a683e29a0148a completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179fc28481909e1c46af343676ff completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 4:54 a.m.