Triple

T22171585
Position Surface form Disambiguated ID Type / Status
Subject Employees’ Entrance E547930 entity
Predicate editedBy P1954 FINISHED
Object George Marks 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: George Marks | Statement: [Employees’ Entrance, editedBy, George Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Marks
Context triple: [Employees’ Entrance, editedBy, George Marks]
  • A. George Marks chosen
    George Marks was a film editor known for his work on early American cinema, including the pioneering all-talking feature "Lights of New York."
  • B. John Marks
    John Marks is an American author and journalist known for his investigative and political writing, including collaborations with fellow reporter Joseph Medill Patterson Albright.
  • C. Owen Marks
    Owen Marks was a prominent American film editor best known for his work on classic Hollywood films, including the iconic 1942 drama "Casablanca."
  • D. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • E. Dennis Marks
    Dennis Marks is a name shared by several notable individuals, including an American television producer and writer and a British opera director and translator.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a68c26c8190b1258595bd96cb63 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.