Triple

T21764378
Position Surface form Disambiguated ID Type / Status
Subject High Tide E537239 entity
Predicate producer P490 FINISHED
Object Sandra Levy 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 Levy | Statement: [High Tide, producer, Sandra Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Levy
Context triple: [High Tide, producer, Sandra Levy]
  • A. Sandra Levy chosen
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • B. Sandra Jaffe
    Sandra Jaffe was an American jazz advocate and co-founder of New Orleans’ iconic Preservation Hall, renowned for her role in preserving and promoting traditional New Orleans jazz.
  • C. Sandra Cohen
    Sandra Cohen is a character in the romantic drama film "Two Lovers," which explores themes of love, choice, and emotional turmoil.
  • D. Sandra Rabins
    Sandra Rabins is a film producer best known for her work on the animated feature "The Prince of Egypt."
  • E. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.