Triple

T11235254
Position Surface form Disambiguated ID Type / Status
Subject Tess E265925 entity
Predicate musicBy P1952 FINISHED
Object Philippe Sarde E854623 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: Philippe Sarde | Statement: [Tess, musicBy, Philippe Sarde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Sarde
Context triple: [Tess, musicBy, Philippe Sarde]
  • A. Philippe Sarde chosen
    Philippe Sarde is a French composer best known for his prolific and acclaimed film scores across European and international cinema since the 1970s.
  • B. Jacques Villeglé
    Jacques Villeglé was a French artist best known for his torn poster collages that transformed urban street advertisements into politically and socially charged works of art.
  • C. Jean Gailhac
    Jean Gailhac was a 19th-century French Catholic priest best known for founding the Religious of the Sacred Heart of Mary, a congregation dedicated to education and social service.
  • D. Pierre Bossan
    Pierre Bossan was a 19th-century French architect best known for designing the monumental Basilica of Notre-Dame de Fourvière in Lyon.
  • E. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69feadf5e520819090c3211a1992d463 completed May 9, 2026, 3:45 a.m.
Created at: April 8, 2026, 9:30 p.m.