Triple
T13559762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les XX |
E323873
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Jean Delvin
Jean Delvin was a Belgian painter and influential art teacher associated with the avant-garde movement in late 19th-century Belgium.
|
E1047735
|
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: Jean Delvin | Statement: [Les XX, notableMember, Jean Delvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Delvin Context triple: [Les XX, notableMember, Jean Delvin]
-
A.
Jean Willes
Jean Willes was an American character actress known for her prolific work in film and television from the 1940s through the 1960s, often appearing in comedies, Westerns, and crime dramas.
-
B.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
C.
Anne Dewavrin
Anne Dewavrin is a French socialite known primarily for her past marriage to billionaire businessman Bernard Arnault, the chairman and CEO of LVMH.
-
D.
Dominique La Rue
Dominique La Rue is a seductive and cunning nightclub singer and con artist in the 1989 crime-comedy film "Harlem Nights."
-
E.
Jean Danet
Jean Danet was a French actor known for his roles in mid-20th-century cinema and theater.
- 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: Jean Delvin Triple: [Les XX, notableMember, Jean Delvin]
Generated description
Jean Delvin was a Belgian painter and influential art teacher associated with the avant-garde movement in late 19th-century Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Delvin Target entity description: Jean Delvin was a Belgian painter and influential art teacher associated with the avant-garde movement in late 19th-century Belgium.
-
A.
Jean Willes
Jean Willes was an American character actress known for her prolific work in film and television from the 1940s through the 1960s, often appearing in comedies, Westerns, and crime dramas.
-
B.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
C.
Anne Dewavrin
Anne Dewavrin is a French socialite known primarily for her past marriage to billionaire businessman Bernard Arnault, the chairman and CEO of LVMH.
-
D.
Dominique La Rue
Dominique La Rue is a seductive and cunning nightclub singer and con artist in the 1989 crime-comedy film "Harlem Nights."
-
E.
Jean Danet
Jean Danet was a French actor known for his roles in mid-20th-century cinema and theater.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dab4974819097880ad4d50f1b34 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f761bd24ac8190b1fd8fdabc8ce252 |
completed | May 3, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76226ac888190b0c6f0eabd337066 |
completed | May 3, 2026, 2:56 p.m. |
Created at: April 9, 2026, 9:47 p.m.