Triple

T21565205
Position Surface form Disambiguated ID Type / Status
Subject Paris Can Wait E532145 entity
Predicate starring P1507 FINISHED
Object Arnaud Viard
Arnaud Viard is a French actor and filmmaker known for his work in both cinema and television, often appearing in romantic and character-driven films.
E1490272 NE FINISHED

How this triple was built (4 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: Arnaud Viard | Statement: [Paris Can Wait, starring, Arnaud Viard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnaud Viard
Context triple: [Paris Can Wait, starring, Arnaud Viard]
  • A. Philippe Lemaire
    Philippe Lemaire was a French film and stage actor active in the mid-20th century, known for his roles in numerous French dramas and comedies.
  • B. Nicolas Dufourcq
    Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
  • C. Laurent Chalumeau
    Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
  • D. Jean-Pierre Meyer
    Jean-Pierre Meyer is a French mathematician known for being a member of the influential collective pseudonym Nicolas Bourbaki.
  • E. Nicolas Bérauld
    Nicolas Bérauld was a French Renaissance humanist scholar and teacher known for mentoring figures such as the printer and humanist Étienne Dolet.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arnaud Viard
Triple: [Paris Can Wait, starring, Arnaud Viard]
Generated description
Arnaud Viard is a French actor and filmmaker known for his work in both cinema and television, often appearing in romantic and character-driven films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arnaud Viard
Target entity description: Arnaud Viard is a French actor and filmmaker known for his work in both cinema and television, often appearing in romantic and character-driven films.
  • A. Philippe Lemaire
    Philippe Lemaire was a French film and stage actor active in the mid-20th century, known for his roles in numerous French dramas and comedies.
  • B. Nicolas Dufourcq
    Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
  • C. Laurent Chalumeau
    Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
  • D. Jean-Pierre Meyer
    Jean-Pierre Meyer is a French mathematician known for being a member of the influential collective pseudonym Nicolas Bourbaki.
  • E. Nicolas Bérauld
    Nicolas Bérauld was a French Renaissance humanist scholar and teacher known for mentoring figures such as the printer and humanist Étienne Dolet.
  • F. None of above. chosen

Provenance (5 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e777c881908de84493fa939ff3 completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eeed4f908190b31dfbdfd5c6221b completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09f004a6d081909f78953ca8daea39 completed May 17, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09f07a090c8190aead09c3b06e0e34 completed May 17, 2026, 4:44 p.m.
Created at: April 16, 2026, 6:30 p.m.