Triple

T16004439
Position Surface form Disambiguated ID Type / Status
Subject Valérian and Laureline E388178 entity
Predicate mainCharacter P1183 FINISHED
Object Valérian
Valérian is a time-traveling spatio-temporal agent and the male protagonist of the French science fiction comic series "Valérian and Laureline."
E1187629 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: Valérian | Statement: [Valérian and Laureline, mainCharacter, Valérian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valérian
Context triple: [Valérian and Laureline, mainCharacter, Valérian]
  • A. Valère
    Valère is a young nobleman in Molière’s comedy *L’Avare*, known for his secret love for Harpagon’s daughter Élise and his role in opposing the miserly values of her father.
  • B. Valère
    Valère is a character in Molière’s comedy "Tartuffe," known as Mariane’s suitor and a foil to the hypocrisy embodied by Tartuffe.
  • C. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • D. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • E. Valentin
    Valentin is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • 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: Valérian
Triple: [Valérian and Laureline, mainCharacter, Valérian]
Generated description
Valérian is a time-traveling spatio-temporal agent and the male protagonist of the French science fiction comic series "Valérian and Laureline."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valérian
Target entity description: Valérian is a time-traveling spatio-temporal agent and the male protagonist of the French science fiction comic series "Valérian and Laureline."
  • A. Valère
    Valère is a young nobleman in Molière’s comedy *L’Avare*, known for his secret love for Harpagon’s daughter Élise and his role in opposing the miserly values of her father.
  • B. Valère
    Valère is a character in Molière’s comedy "Tartuffe," known as Mariane’s suitor and a foil to the hypocrisy embodied by Tartuffe.
  • C. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • D. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • E. Valentin
    Valentin is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc49bfa088190a6291f560ca9bdb5 completed May 9, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffc538a5f0819097ea09f57d3cae35 completed May 9, 2026, 11:37 p.m.
Created at: April 10, 2026, 4:55 a.m.