Triple

T5850395
Position Surface form Disambiguated ID Type / Status
Subject Michel Serrault E130013 entity
Predicate familyName P18 FINISHED
Object Serrault
Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
E550554 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: Serrault | Statement: [Michel Serrault, familyName, Serrault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serrault
Context triple: [Michel Serrault, familyName, Serrault]
  • A. Lagrenée
    Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
  • B. Souvestre
    Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
  • C. Olry
    Olry is a French surname most notably associated with René Olry, a French general who served during World War II.
  • D. Rodrigues
    Rodrigues is a common Portuguese surname borne by numerous notable figures in Portuguese and Lusophone history and culture.
  • E. Badeau
    Badeau is a surname of likely French origin borne by individuals such as Aminda "Minnie" Badeau.
  • 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: Serrault
Triple: [Michel Serrault, familyName, Serrault]
Generated description
Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Serrault
Target entity description: Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
  • A. Lagrenée
    Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
  • B. Souvestre
    Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
  • C. Olry
    Olry is a French surname most notably associated with René Olry, a French general who served during World War II.
  • D. Rodrigues
    Rodrigues is a common Portuguese surname borne by numerous notable figures in Portuguese and Lusophone history and culture.
  • E. Badeau
    Badeau is a surname of likely French origin borne by individuals such as Aminda "Minnie" Badeau.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b3c7d08190bada8ae35e7fa8eb completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a234f0dc819098a889bd5ee87722 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2b1df0c8190b63d5ca984439b0b completed March 23, 2026, 2:17 a.m.
Created at: March 22, 2026, 3:55 p.m.