Triple

T9970072
Position Surface form Disambiguated ID Type / Status
Subject Wendy and Lucy E196180 entity
Predicate cinematographyBy P1953 FINISHED
Object Sam Levy E364600 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: Sam Levy | Statement: [Wendy and Lucy, cinematographyBy, Sam Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Levy
Context triple: [Wendy and Lucy, cinematographyBy, Sam Levy]
  • A. Sam Levy chosen
    Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
  • B. Sam Levine
    Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
  • C. Leon Levy
    Leon Levy was an American investor, philanthropist, and patron of the humanities known for his significant support of archaeology, the arts, and biographical scholarship.
  • D. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • E. Sam Greisman
    Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d380d202d0819083f848a72ac58130 completed April 6, 2026, 9:45 a.m.
Created at: March 30, 2026, 8:48 p.m.