Triple

T6634281
Position Surface form Disambiguated ID Type / Status
Subject L’Oréal E150406 entity
Predicate foundedBy P104 FINISHED
Object Eugène Schueller E28155 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: Eugène Schueller | Statement: [L’Oréal, foundedBy, Eugène Schueller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugène Schueller
Context triple: [L’Oréal, foundedBy, Eugène Schueller]
  • A. Eugène Schueller chosen
    Eugène Schueller was a French chemist and entrepreneur best known as the founder of the global cosmetics company L'Oréal.
  • B. Adolphe Billault
    Adolphe Billault was a 19th-century French lawyer and politician who became a prominent statesman during the Second French Empire.
  • C. Asa Griggs Candler
    Asa Griggs Candler was an American businessman and philanthropist best known for transforming Coca-Cola into a global brand and serving as the mayor of Atlanta.
  • D. Émile Henry
    Émile Henry was a French anarchist known for carrying out bomb attacks in Paris in the 1890s and being executed for his role in these acts of political violence.
  • E. John Jacob Bausch
    John Jacob Bausch was a German-American optician and entrepreneur who co-founded the major eye health and optics company Bausch & Lomb in the 19th century.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcc1c9c819087fcde19a5d49fd2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeed01608190bbc6461ac8c3cadb completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:59 p.m.