Triple

T5080704
Position Surface form Disambiguated ID Type / Status
Subject French Kiss E114502 entity
Predicate starring P1507 FINISHED
Object Jean Reno E72335 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: Jean Reno | Statement: [French Kiss, starring, Jean Reno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Reno
Context triple: [French Kiss, starring, Jean Reno]
  • A. Jean Reno chosen
    Jean Reno is a French actor known for his roles in films such as Léon: The Professional, The Big Blue, and Mission: Impossible.
  • B. James Thierrée
    James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
  • C. Joseph Noiret
    Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
  • D. Daniel Auteuil
    Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
  • E. Michel Serrault
    Michel Serrault was a celebrated French actor known for his versatile performances in film, theater, and television, particularly his iconic role in "La Cage aux Folles."
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f9d9848190919aad6cfe14f1cf completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1303bc4819084e0270a8ff97aec completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.