Triple

T18958883
Position Surface form Disambiguated ID Type / Status
Subject Artists and Models E463855 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: [Artists and Models, musicBy, Walter Scharf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Scharf
Context triple: [Artists and Models, 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. Carl Schwachheim
    Carl Schwachheim was an archaeologist known for discovering the Lindenmeier site, a major Folsom culture Paleo-Indian campsite in Colorado.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon