Triple

T22095200
Position Surface form Disambiguated ID Type / Status
Subject Cécile Marie Trintignant E546007 entity
Predicate givenName P17 FINISHED
Object Cécile
Cécile is a French actress and filmmaker best known for her work in independent cinema and for being the daughter of actors Jean-Louis Trintignant and Nadine Marquand.
 E1518975 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: Cécile | Statement: [Cécile Marie Trintignant, givenName, Cécile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cécile
Context triple: [Cécile Marie Trintignant, givenName, Cécile]
  • A. Cécile
    Cécile is the sensitive and central protagonist of the French film "Cible émouvante," around whom the story’s emotional and narrative developments revolve.
  • B. Cécile
    Cécile is a character in Jacques Demy’s 1961 French musical film "Lola."
  • C. Cécile
    Cécile is the introspective, emotionally conflicted teenage protagonist of the French film "Bonjour Tristesse," whose relationships and moral choices drive the story’s drama.
  • D. Clélia
    Clélia is a feminine given name, primarily used in French-speaking countries and derived from the Latin name Clelia.
  • E. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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: Cécile
Triple: [Cécile Marie Trintignant, givenName, Cécile]
Generated description
Cécile is a French actress and filmmaker best known for her work in independent cinema and for being the daughter of actors Jean-Louis Trintignant and Nadine Marquand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cécile
Target entity description: Cécile is a French actress and filmmaker best known for her work in independent cinema and for being the daughter of actors Jean-Louis Trintignant and Nadine Marquand.
  • A. Cécile
    Cécile is the sensitive and central protagonist of the French film "Cible émouvante," around whom the story’s emotional and narrative developments revolve.
  • B. Cécile
    Cécile is a character in Jacques Demy’s 1961 French musical film "Lola."
  • C. Cécile
    Cécile is the introspective, emotionally conflicted teenage protagonist of the French film "Bonjour Tristesse," whose relationships and moral choices drive the story’s drama.
  • D. Clélia
    Clélia is a feminine given name, primarily used in French-speaking countries and derived from the Latin name Clelia.
  • E. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e82c1481908701f255b834f192 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a879f826881909cdad0edc6bde08d completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a884eb8248190b98b260d3d277d92 completed May 18, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8901941c8190945a96d7f5578362 completed May 18, 2026, 3:35 a.m.
Created at: April 16, 2026, 8:29 p.m.