Triple

T2380414
Position Surface form Disambiguated ID Type / Status
Subject The Barkleys of Broadway E46297 entity
Predicate editedBy P1954 FINISHED
Object Albert Akst E211226 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: Albert Akst | Statement: [The Barkleys of Broadway, editedBy, Albert Akst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Akst
Context triple: [The Barkleys of Broadway, editedBy, Albert Akst]
  • A. Albert Akst chosen
    Albert Akst was an American film editor known for his work on numerous Hollywood productions, particularly musicals, during the mid-20th century.
  • B. 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.
  • C. Morris Stoloff
    Morris Stoloff was an American musical director, conductor, and composer best known for his work on numerous Hollywood film scores during the mid-20th century.
  • D. Paul Kosok
    Paul Kosok was an American historian and archaeologist best known for pioneering the study of Peru’s Nazca Lines through early aerial surveys in the 1930s.
  • E. Harry Kurnitz
    Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b7c9188190a824e4b469bc1548 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8b23680819085e0c7da7b4da9e1 completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.