Triple

T1826208
Position Surface form Disambiguated ID Type / Status
Subject The Film Sense E40658 entity
Predicate translator P5475 FINISHED
Object Jay Leyda E204299 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: Jay Leyda | Statement: [The Film Sense, translator, Jay Leyda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Leyda
Context triple: [The Film Sense, translator, Jay Leyda]
  • A. Jay Leyda chosen
    Jay Leyda was an American film historian, archivist, and scholar known for his pioneering work on Soviet cinema and his influential studies of filmmakers like Sergei Eisenstein.
  • B. Hugo Riesenfeld
    Hugo Riesenfeld was an Austrian-American composer and conductor known for his pioneering work in early film music during the silent and early sound eras.
  • C. René Leibowitz
    René Leibowitz was a Polish-born French composer, conductor, and influential music theorist who helped introduce and promote twelve-tone and serial techniques in postwar France.
  • D. Michael Stein
    Michael Stein is an American musician and composer best known for co-creating the synth-driven score for the hit Netflix series "Stranger Things" as part of the electronic band Survive.
  • E. Kurt Wolff
    Kurt Wolff was a prominent 20th-century German-American publisher known for championing modernist and international literature.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb00f13888190aa5582263d55d371 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.