Triple

T11994777
Position Surface form Disambiguated ID Type / Status
Subject The Ladies Man E285500 entity
Predicate musicBy P1952 FINISHED
Object Walter Scharf E372218 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: Walter Scharf | Statement: [The Ladies Man, musicBy, Walter Scharf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Scharf
Context triple: [The Ladies Man, 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. 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.
  • C. Walter Herz
    Walter Herz was a graphic artist best known for designing the official poster for the 1948 Summer Olympics in London.
  • D. Carl Schwachheim
    Carl Schwachheim was an archaeologist known for discovering the Lindenmeier site, a major Folsom culture Paleo-Indian campsite in Colorado.
  • E. Walter Bartel
    Walter Bartel was a German communist resistance fighter and politician who opposed the Nazi regime and later became a prominent figure in East Germany.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ce8f988190b503af0cd5f2a97e completed May 9, 2026, 9:43 a.m.
Created at: April 8, 2026, 9:46 p.m.