Triple

T12854963
Position Surface form Disambiguated ID Type / Status
Subject Gravity (2013 film) E307426 entity
Predicate editedBy P1954 FINISHED
Object Mark Sanger E270641 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: Mark Sanger | Statement: [Gravity (2013 film), editedBy, Mark Sanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Sanger
Context triple: [Gravity (2013 film), editedBy, Mark Sanger]
  • A. Mark Sanger chosen
    Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
  • B. Grant Sanger
    Grant Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
  • C. Jonathan Sanger
    Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
  • D. Stuart Sanger
    Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
  • E. Mark Sangster
    Mark Sangster is a relative of British actor Thomas Brodie-Sangster, known for his work in film and television.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746077b288190b8ca7927352a7904 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 5:37 p.m.