Triple

T7402784
Position Surface form Disambiguated ID Type / Status
Subject Black Opium E170788 entity
Predicate perfumer P39615 FINISHED
Object Nathalie Lorson E540934 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: Nathalie Lorson | Statement: [Black Opium, perfumer, Nathalie Lorson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathalie Lorson
Context triple: [Black Opium, perfumer, Nathalie Lorson]
  • A. Nathalie Lorson chosen
    Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
  • B. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • C. Julie Le Brun
    Julie Le Brun was the daughter and frequent portrait subject of the renowned French painter Élisabeth Vigée Le Brun, often depicted in her mother's celebrated works.
  • D. Monique Baudot
    Monique Baudot was the French-born second wife of Vietnam’s last emperor, Bảo Đại, known for her life in exile with him in France.
  • E. Denise Baudu
    Denise Baudu is the young, determined saleswoman who serves as the central heroine of Émile Zola’s novel "Au Bonheur des Dames," embodying both the struggles and aspirations of women in the rise of the modern department store.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26ea27c8190a55e0e0314b463d8 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81110d7648190a8938db7061be454 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.