Triple

T18038963
Position Surface form Disambiguated ID Type / Status
Subject Society of the Snow E431588 entity
Predicate producer P490 FINISHED
Object Sandra Hermida NE NERFINISHED

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: Sandra Hermida | Statement: [Society of the Snow, producer, Sandra Hermida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Hermida
Context triple: [Society of the Snow, producer, Sandra Hermida]
  • A. Sandra Hermida chosen
    Sandra Hermida is a Spanish film producer known for her work on high-profile international projects, including the survival drama "Society of the Snow."
  • B. Sonia García
    Sonia García is a central character in the Latino family sitcom "The Brothers García," known as the strong-willed and caring mother in the García household.
  • C. Miriam Gómez
    Miriam Gómez is a Cuban actress and writer best known as the longtime partner and literary collaborator of novelist Guillermo Cabrera Infante.
  • D. Marta Marrero
    Marta Marrero, better known by her stage name Martika, is an American singer and actress famous for her late-1980s pop hits like "Toy Soldiers" and her role on the television series "Kids Incorporated."
  • E. Cristina Banegas
    Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3cbe8c8190ba216eeebfc3cbec completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.