Triple
T13052229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Charlot |
E327474
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Charlot
Charlot is a French surname borne by various notable individuals, including artists and public figures.
|
E1018395
|
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: Charlot | Statement: [Jean Charlot, familyName, Charlot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlot Context triple: [Jean Charlot, familyName, Charlot]
-
A.
Gummo Marx
Gummo Marx was an American vaudeville performer and the least publicly known of the Marx Brothers, who left show business early to serve in World War I and later became a successful theatrical agent.
-
B.
Magoo
Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
-
C.
Fernandel
Fernandel was a beloved French comic actor and singer, famed for his expressive face and roles in classic mid-20th-century films such as the Don Camillo series.
-
D.
Tati
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
E.
Tati
Tati is the endonym used by the Tat people to refer to themselves and their language.
- 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: Charlot Triple: [Jean Charlot, familyName, Charlot]
Generated description
Charlot is a French surname borne by various notable individuals, including artists and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlot Target entity description: Charlot is a French surname borne by various notable individuals, including artists and public figures.
-
A.
Gummo Marx
Gummo Marx was an American vaudeville performer and the least publicly known of the Marx Brothers, who left show business early to serve in World War I and later became a successful theatrical agent.
-
B.
Magoo
Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
-
C.
Fernandel
Fernandel was a beloved French comic actor and singer, famed for his expressive face and roles in classic mid-20th-century films such as the Don Camillo series.
-
D.
Tati
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
E.
Tati
Tati is the endonym used by the Tat people to refer to themselves and their language.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b98fa081908cfa92116799e874 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdcc3e881908d9a246558b1c20e |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd0e88e08190a07468336bb624f0 |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce23ca208190960409130c4c52a9 |
completed | May 3, 2026, 4:25 a.m. |
Created at: April 9, 2026, 8:57 p.m.