Triple

T9836685
Position Surface form Disambiguated ID Type / Status
Subject Blonde Venus E239118 entity
Predicate musicBy P1952 FINISHED
Object John Leipold E642512 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: John Leipold | Statement: [Blonde Venus, musicBy, John Leipold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Leipold
Context triple: [Blonde Venus, musicBy, John Leipold]
  • A. John Leipold chosen
    John Leipold was an American film composer best known for his work scoring early Hollywood films, particularly during the 1930s.
  • B. Leonard Hirschfield
    Leonard Hirschfield was a cinematographer best known for his work on the 1962 psychological drama film "David and Lisa."
  • C. Wilm Hosenfeld
    Wilm Hosenfeld was a German Wehrmacht officer known for secretly helping and ultimately saving Polish Jews, most famously the pianist Władysław Szpilman, during World War II.
  • D. Henry Gondorff
    Henry Gondorff is a seasoned, charismatic con artist and grifter portrayed by Paul Newman in the classic 1973 film "The Sting."
  • E. Louis Wolheim
    Louis Wolheim was an American character actor of the silent and early sound era, best known for his rugged features and memorable roles in films such as "All Quiet on the Western Front."
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e177fcc81908613409c03995ea8 completed April 10, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:33 p.m.