Triple

T8427554
Position Surface form Disambiguated ID Type / Status
Subject Love Is Gone E199039 entity
Predicate writer P1360 FINISHED
Object Frédéric Riesterer E804634 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: Frédéric Riesterer | Statement: [Love Is Gone, writer, Frédéric Riesterer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frédéric Riesterer
Context triple: [Love Is Gone, writer, Frédéric Riesterer]
  • A. Frédéric Riesterer chosen
    Frédéric Riesterer is a French music producer and songwriter best known for his collaborations with David Guetta on numerous international dance hits.
  • B. Franz Lefort
    Franz Lefort was a Genevan-born Russian admiral and close advisor to Tsar Peter the Great, noted for his key role in modernizing the Russian military and diplomacy in the late 17th century.
  • C. Jacques Defforey
    Jacques Defforey was a French businessman best known as one of the founders of the multinational retail corporation Carrefour.
  • D. Louis Jean Heydt
    Louis Jean Heydt was an American character actor known for his numerous supporting roles in Hollywood films from the 1930s through the 1950s.
  • E. Eugène Ferret
    Eugène Ferret was an architect best known for designing the historic Sanremo Casino in Italy.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50983ce848190ab375145019ff69b completed April 19, 2026, 4:57 p.m.
Created at: March 30, 2026, 6:07 p.m.