Triple

T10323375
Position Surface form Disambiguated ID Type / Status
Subject Swimfan E242694 entity
Predicate musicBy P1952 FINISHED
Object Louis Febre E649773 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: Louis Febre | Statement: [Swimfan, musicBy, Louis Febre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Febre
Context triple: [Swimfan, musicBy, Louis Febre]
  • A. Louis Febre chosen
    Louis Febre is a Mexican-American composer best known for his work on television scores, including animated series and shows like Smallville.
  • B. Frédéric Lefebvre
    Frédéric Lefebvre is a French conservative politician and former government spokesperson who served as a prominent member of the Union for a Popular Movement (UMP) party.
  • C. François Pelland
    François Pelland is a video game producer best known for his leadership role in developing major Ubisoft titles such as Assassin's Creed III.
  • D. François Estienne
    François Estienne was a member of the renowned Estienne family of 16th-century French scholar-printers, associated with humanist publishing and classical texts.
  • E. Etienne de Boré
    Etienne de Boré was a prominent 18th-century French Creole planter and the first mayor of New Orleans, known for pioneering large-scale sugar production in Louisiana.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbaa8acc8190839b9a9f9f821168 completed May 3, 2026, 4:14 a.m.
Created at: April 6, 2026, 11:50 a.m.