Triple
T15845952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Cluzet |
E384212
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Blanche Cluzet
Blanche Cluzet is the daughter of acclaimed French actor François Cluzet.
|
E1181389
|
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: Blanche Cluzet | Statement: [François Cluzet, child, Blanche Cluzet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanche Cluzet Context triple: [François Cluzet, child, Blanche Cluzet]
-
A.
Françoise Brion
Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
-
B.
Françoise Rosay
Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
-
C.
Hélène Brion
Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
-
D.
Carole Bouquet
Carole Bouquet is a French actress known for her roles in European art cinema and as a Bond girl in the James Bond film "For Your Eyes Only."
-
E.
Marie Trintignant
Marie Trintignant was a French actress known for her intense, emotionally charged performances in film, television, and theater before her life was tragically cut short.
- 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: Blanche Cluzet Triple: [François Cluzet, child, Blanche Cluzet]
Generated description
Blanche Cluzet is the daughter of acclaimed French actor François Cluzet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blanche Cluzet Target entity description: Blanche Cluzet is the daughter of acclaimed French actor François Cluzet.
-
A.
Françoise Brion
Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
-
B.
Françoise Rosay
Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
-
C.
Hélène Brion
Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
-
D.
Carole Bouquet
Carole Bouquet is a French actress known for her roles in European art cinema and as a Bond girl in the James Bond film "For Your Eyes Only."
-
E.
Marie Trintignant
Marie Trintignant was a French actress known for her intense, emotionally charged performances in film, television, and theater before her life was tragically cut short.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca636048190bc89cd8b4efa89e9 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93fbcb481908e7b7ddc46992f79 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa4fd9688190ba44555bd40f6442 |
completed | May 9, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab2fdd1c81909439f11ff798c168 |
completed | May 9, 2026, 9:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.