Triple

T15176471
Position Surface form Disambiguated ID Type / Status
Subject Syrena E362622 entity
Predicate portrayedBy P1507 FINISHED
Object Astrid Bergès-Frisbey E73877 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: Astrid Bergès-Frisbey | Statement: [Syrena, portrayedBy, Astrid Bergès-Frisbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astrid Bergès-Frisbey
Context triple: [Syrena, portrayedBy, Astrid Bergès-Frisbey]
  • A. Astrid Bergès-Frisbey chosen
    Astrid Bergès-Frisbey is a French-Spanish actress and model known for roles in films such as "Pirates of the Caribbean: On Stranger Tides" and "King Arthur: Legend of the Sword."
  • B. Fiona Gubelmann
    Fiona Gubelmann is an American actress best known for her role as Dr. Morgan Reznick on the medical drama series "The Good Doctor."
  • C. Simone Schiffrin
    Simone Schiffrin was the wife of French-Russian publisher Jacques Schiffrin, founder of the prestigious Bibliothèque de la Pléiade series.
  • D. Corinne Jorry
    Corinne Jorry is a French costume designer renowned for her work on period films and collaborations with prominent European directors.
  • E. Annick Castiaux
    Annick Castiaux is a Belgian academic and university leader who serves as rector of the University of Namur.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e664b081909ef4b6a76976847f completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:09 a.m.