Triple

T15259376
Position Surface form Disambiguated ID Type / Status
Subject The Sea Wall E364732 entity
Predicate hasCastMember P2308 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: [The Sea Wall, hasCastMember, Astrid Bergès-Frisbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astrid Bergès-Frisbey
Context triple: [The Sea Wall, hasCastMember, 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6def4c8190b6aed1f68d336c5a completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:13 a.m.