Triple

T16430147
Position Surface form Disambiguated ID Type / Status
Subject Yannick E399050 entity
Predicate hasNotableBearer P458 FINISHED
Object Yannick Noah E808331 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: Yannick Noah | Statement: [Yannick, hasNotableBearer, Yannick Noah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yannick Noah
Context triple: [Yannick, hasNotableBearer, Yannick Noah]
  • A. Yannick Noah chosen
    Yannick Noah is a former French professional tennis player who won the 1983 French Open and later became a popular singer and humanitarian.
  • B. Claude Lebel
    Claude Lebel is the methodical French police detective who leads the investigation to stop the assassin in Frederick Forsyth’s thriller "The Day of the Jackal."
  • C. Thierry Sabine
    Thierry Sabine was a French motorcycle racer and adventurer best known for creating the Paris–Dakar Rally, one of the world’s most famous and challenging off-road endurance races.
  • D. Thierry Noir
    Thierry Noir is a French artist renowned for being one of the first to paint large, colorful murals on the Berlin Wall, helping transform it into a symbol of artistic and political expression.
  • E. Michel Seydoux
    Michel Seydoux is a French film producer best known for backing ambitious auteur projects, including Alejandro Jodorowsky’s legendary unmade adaptation of "Dune."
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458331748190a4bd1c5d2d466e6d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.