Triple

T17546804
Position Surface form Disambiguated ID Type / Status
Subject The Orphanage E427346 entity
Predicate editor P1954 FINISHED
Object Elena Ruiz 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: Elena Ruiz | Statement: [The Orphanage, editor, Elena Ruiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elena Ruiz
Context triple: [The Orphanage, editor, Elena Ruiz]
  • A. Elena Ruiz chosen
    Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
  • B. Elena Alvarez
    Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
  • C. Elena Delgado
    Elena Delgado is a key FBI missing-persons agent on the television drama "Without a Trace," known for her dedication, empathy, and complex personal backstory.
  • D. Elena García
    Elena García is a common Spanish personal name shared by multiple notable individuals across fields such as science, arts, and public life.
  • E. Elena Rivera
    Elena Rivera is a member of the Rivera family lineage in Disney-Pixar’s film "Coco," descended from the matriarch Mamá Imelda.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.