Triple

T15897721
Position Surface form Disambiguated ID Type / Status
Subject Ana Khesarian E385505 entity
Predicate portrayedBy P1507 FINISHED
Object Charlotte Le Bon E183582 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 Le Bon | Statement: [Ana Khesarian, portrayedBy, Charlotte Le Bon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Le Bon
Context triple: [Ana Khesarian, portrayedBy, Charlotte Le Bon]
  • A. Charlotte Le Bon chosen
    Charlotte Le Bon is a Canadian actress and former model known for her roles in international films such as "The Walk" and "The Hundred-Foot Journey."
  • B. Laetitia Sadier
    Laetitia Sadier is a French musician and singer-songwriter best known as the vocalist and co-founder of the avant-pop band Stereolab.
  • C. Lætitia Sadier
    Lætitia Sadier is a French musician and singer best known as the lead vocalist and lyricist of the avant-pop band Stereolab.
  • D. Victoria Legrand
    Victoria Legrand is a French-American musician best known as the vocalist and keyboardist of the dream pop duo Beach House.
  • E. Nancy Marchand
    Nancy Marchand was an acclaimed American actress best known for her roles on the television series "Lou Grant" and "The Sopranos."
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563b0e4c8190b338672dfb122665 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.