Triple

T9759655
Position Surface form Disambiguated ID Type / Status
Subject Guns of Darkness E236636 entity
Predicate musicBy P1952 FINISHED
Object Benjamin Frankel E682553 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: Benjamin Frankel | Statement: [Guns of Darkness, musicBy, Benjamin Frankel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Frankel
Context triple: [Guns of Darkness, musicBy, Benjamin Frankel]
  • A. Benjamin Frankel chosen
    Benjamin Frankel was a 20th-century British composer best known for his film scores and contributions to modern classical music.
  • B. Sam Frankel
    Sam Frankel was an American businessman best known for establishing Manheim Auctions, which grew into one of the world’s largest wholesale vehicle auction companies.
  • C. Nathan Zakheim
    Nathan Zakheim is an American art conservator and historian known for preserving and documenting the New Deal–era murals of his father, Bernard Zakheim, and other public artworks.
  • D. Uriel Frisch
    Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
  • E. Benjamin Kubelsky
    Benjamin Kubelsky, better known as Jack Benny, was a hugely influential American comedian, vaudevillian, radio and television star renowned for his impeccable timing, stingy persona, and enduring impact on 20th-century entertainment.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2285b4c8081908aba8a074288ee00 completed April 5, 2026, 9:16 a.m.
Created at: March 30, 2026, 8:24 p.m.