Triple

T8207507
Position Surface form Disambiguated ID Type / Status
Subject Blessed Event E191723 entity
Predicate editor P1954 FINISHED
Object George Marks E210555 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: George Marks | Statement: [Blessed Event, editor, George Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Marks
Context triple: [Blessed Event, editor, 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. 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."
  • C. 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."
  • D. 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.
  • E. Henry Garson
    Henry Garson was an American screenwriter and television writer best known for his work on mid-20th-century films and TV series, including projects starring Elvis Presley.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726d26ec8190957da68227f5ce61 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedda69148190b8c221221de5dae5 completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:43 p.m.