Triple

T13337771
Position Surface form Disambiguated ID Type / Status
Subject Andrew Birkin E317741 entity
Predicate relative P37 FINISHED
Object Charlotte Gainsbourg E98618 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: Charlotte Gainsbourg | Statement: [Andrew Birkin, relative, Charlotte Gainsbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Gainsbourg
Context triple: [Andrew Birkin, relative, Charlotte Gainsbourg]
  • A. Charlotte Gainsbourg chosen
    Charlotte Gainsbourg is a French-British actress and singer known for her nuanced performances in art-house cinema and her collaborations with director Lars von Trier.
  • B. Laetitia Casta
    Laetitia Casta is a French supermodel and actress known for her work with major fashion houses and her roles in European cinema.
  • C. Jane Birkin
    Jane Birkin was an English-French actress and singer renowned for her artistic partnership with Serge Gainsbourg and her enduring influence on fashion and popular culture.
  • D. Ludivine Sagnier
    Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
  • E. Juliette Binoche
    Juliette Binoche is an acclaimed French actress known for her nuanced performances in international cinema and her Academy Award-winning role in "The English Patient."
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3bb06c8190beaf6dfbba9ff613 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.