Triple

T4035172
Position Surface form Disambiguated ID Type / Status
Subject Lady Bird E83810 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: [Lady Bird, cinematographyBy, Sam Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Levy
Context triple: [Lady Bird, 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. 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.
  • C. 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."
  • D. Gary Levinsohn
    Gary Levinsohn is a film producer best known for his work on major Hollywood features, including the acclaimed World War II drama "Saving Private Ryan."
  • E. Dan Lebental
    Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe3ba3848190bcd62dd21229ca67 completed March 21, 2026, 8:23 p.m.
Created at: March 9, 2026, 3:36 p.m.