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.