Triple

T19465044
Position Surface form Disambiguated ID Type / Status
Subject Africa Screams E486970 entity
Predicate musicBy P1952 FINISHED
Object Walter Scharf NE NERFINISHED

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: Walter Scharf | Statement: [Africa Screams, musicBy, Walter Scharf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Scharf
Context triple: [Africa Screams, musicBy, Walter Scharf]
  • A. Walter Scharf chosen
    Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
  • B. William Scharf
    William Scharf is a film editor known for his work on feature films such as the comedy "Down Periscope."
  • C. Otto Schenk
    Otto Schenk is an Austrian actor, director, and comedian renowned for his work in theater and opera, particularly at the Vienna State Opera and the Metropolitan Opera.
  • D. Walter Herz
    Walter Herz was a graphic artist best known for designing the official poster for the 1948 Summer Olympics in London.
  • E. Walter Behrendt
    Walter Behrendt was a German Social Democratic politician who served as President of the European Parliament in the early 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633d0fe3c8190b637f78bfad704d0 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.