Triple

T9234221
Position Surface form Disambiguated ID Type / Status
Subject Hotel du Nord E221894 entity
Predicate stars P1956 FINISHED
Object Arletty
Arletty was a celebrated French actress and singer, renowned for her witty, worldly screen presence in classic 1930s and 1940s cinema.
 E788573 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: Arletty | Statement: [Hotel du Nord, stars, Arletty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arletty
Context triple: [Hotel du Nord, stars, Arletty]
  • A. Violette Nozière
    Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
  • B. Leslie Caron
    Leslie Caron is a French-American actress and dancer best known for her roles in classic Hollywood musicals such as "An American in Paris" and "Gigi."
  • C. Hélène Brion
    Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
  • D. Annie Girardot
    Annie Girardot was a celebrated French film and theater actress known for her emotionally powerful performances and enduring popularity from the 1960s through the 1990s.
  • E. Anouk Aimée
    Anouk Aimée was a celebrated French actress known for her enigmatic screen presence and acclaimed performances in films such as "La Dolce Vita" and "A Man and a Woman."
  • 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: Arletty
Triple: [Hotel du Nord, stars, Arletty]
Generated description
Arletty was a celebrated French actress and singer, renowned for her witty, worldly screen presence in classic 1930s and 1940s cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arletty
Target entity description: Arletty was a celebrated French actress and singer, renowned for her witty, worldly screen presence in classic 1930s and 1940s cinema.
  • A. Violette Nozière
    Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
  • B. Leslie Caron
    Leslie Caron is a French-American actress and dancer best known for her roles in classic Hollywood musicals such as "An American in Paris" and "Gigi."
  • C. Hélène Brion
    Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
  • D. Annie Girardot
    Annie Girardot was a celebrated French film and theater actress known for her emotionally powerful performances and enduring popularity from the 1960s through the 1990s.
  • E. Anouk Aimée
    Anouk Aimée was a celebrated French actress known for her enigmatic screen presence and acclaimed performances in films such as "La Dolce Vita" and "A Man and a Woman."
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bb6b6f08190ab062265b0adacf9 completed April 4, 2026, 5:03 a.m.
NEDg Description generation batch_69d09ca202f88190b21b89e61b1596ff completed April 4, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:29 p.m.