Triple

T10212360
Position Surface form Disambiguated ID Type / Status
Subject One Night of Love E242359 entity
Predicate musicBy P1952 FINISHED
Object Victor Schertzinger E518262 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: Victor Schertzinger | Statement: [One Night of Love, musicBy, Victor Schertzinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Schertzinger
Context triple: [One Night of Love, musicBy, Victor Schertzinger]
  • A. Victor Schertzinger chosen
    Victor Schertzinger was an American film director, composer, and musician active in the early 20th century, known for his work on Hollywood musicals and comedies.
  • B. Walter Scharf
    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.
  • C. Joseph Kaufmann
    Joseph Kaufmann was a mountaineer known for making the first recorded ascent of Mount Columbia in the Canadian Rockies.
  • D. Carl Segaud
    Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
  • E. Harold Hecht
    Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa23bce881909b5deac612ec22cb completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6f4d0cc8190ae41277b15b3012d completed April 9, 2026, 12:46 a.m.
Created at: April 6, 2026, 11:02 a.m.