Triple

T2982252
Position Surface form Disambiguated ID Type / Status
Subject March of the Penguins E80538 entity
Predicate writer P1360 FINISHED
Object Luc Jacquet E317042 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: Luc Jacquet | Statement: [March of the Penguins, writer, Luc Jacquet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luc Jacquet
Context triple: [March of the Penguins, writer, Luc Jacquet]
  • A. Luc Jacquet chosen
    Luc Jacquet is a French filmmaker best known for his Oscar-winning nature documentary "March of the Penguins," which brought international attention to emperor penguins and environmental issues.
  • B. Bernard Laporte
    Bernard Laporte is a French rugby union coach, former France national team manager, and sports executive who has held top leadership roles in both French and international rugby governance.
  • C. Jean Pascal
    Jean Pascal is a Haitian-Canadian professional boxer and former light heavyweight world champion known for his explosive style and high-profile title fights.
  • D. Ludovic Lepic
    Ludovic Lepic was a 19th-century French artist and etcher associated with the Impressionist movement and known for his close ties to Edgar Degas.
  • E. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e31a8188190bd5ad6c9757e7141 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.