Triple

T6965119
Position Surface form Disambiguated ID Type / Status
Subject Farewell, My Queen E161468 entity
Predicate productionCompany P490 FINISHED
Object Les Films du Lendemain
Les Films du Lendemain is a French film production company known for producing auteur-driven, critically acclaimed cinema.
 E630659 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: Les Films du Lendemain | Statement: [Farewell, My Queen, productionCompany, Les Films du Lendemain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Films du Lendemain
Context triple: [Farewell, My Queen, productionCompany, Les Films du Lendemain]
  • A. L’Avenir
    L’Avenir is a historical Belgian socialist newspaper that served as a key mouthpiece for the Parti rouge.
  • B. Le Jour
    Le Jour is a French film that forms the central part of Marcel Hanoun’s experimental Night–Dawn–Day trilogy, exploring time, perception, and cinematic form.
  • C. Le Jour
    Le Jour is the original French title of the 1987 American drama film "The Day," directed by Peter Markle.
  • D. Les Films du Siècle
    Les Films du Siècle is a French film production company known for backing various French and international cinema projects.
  • E. Encore un soir
    "Encore un soir" is a French-language pop ballad by Céline Dion, known for its emotional reflection on loss and memory.
  • 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: Les Films du Lendemain
Triple: [Farewell, My Queen, productionCompany, Les Films du Lendemain]
Generated description
Les Films du Lendemain is a French film production company known for producing auteur-driven, critically acclaimed cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Films du Lendemain
Target entity description: Les Films du Lendemain is a French film production company known for producing auteur-driven, critically acclaimed cinema.
  • A. L’Avenir
    L’Avenir is a historical Belgian socialist newspaper that served as a key mouthpiece for the Parti rouge.
  • B. Le Jour
    Le Jour is a French film that forms the central part of Marcel Hanoun’s experimental Night–Dawn–Day trilogy, exploring time, perception, and cinematic form.
  • C. Le Jour
    Le Jour is the original French title of the 1987 American drama film "The Day," directed by Peter Markle.
  • D. Les Films du Siècle
    Les Films du Siècle is a French film production company known for backing various French and international cinema projects.
  • E. Encore un soir
    "Encore un soir" is a French-language pop ballad by Céline Dion, known for its emotional reflection on loss and memory.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a0e5bc819098206940fc3ac623 completed March 28, 2026, 4:27 a.m.
NEDg Description generation batch_69c759553fe081909881c8d2ae680dfe completed March 28, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69c759c79de48190bd3e079c07a9158a completed March 28, 2026, 4:32 a.m.
Created at: March 27, 2026, 2:30 p.m.