Triple
T23061772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mademoiselle Chambon |
E574920
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Miléna Poylo
Miléna Poylo is a French film producer known for her work on acclaimed contemporary French cinema, including the drama "Mademoiselle Chambon."
|
E1567960
|
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: Miléna Poylo | Statement: [Mademoiselle Chambon, producer, Miléna Poylo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miléna Poylo Context triple: [Mademoiselle Chambon, producer, Miléna Poylo]
-
A.
Petra Volakova
Petra Volakova is known as the wife of former New Jersey Devils star and Czech ice hockey player Patrik Eliáš.
-
B.
Hanna Turchynova
Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
-
C.
Julia Lemigova
Julia Lemigova is a Russian former model, beauty pageant titleholder, and businesswoman who later became known as a cast member on "The Real Housewives of Miami."
-
D.
Tatiana Vilhelmová
Tatiana Vilhelmová is a Czech film and theatre actress known for her acclaimed performances in contemporary Czech cinema and stage productions.
-
E.
Helena-Lia Tachovská
Helena-Lia Tachovská is an actress known for appearing in the film "Hannibal Rising."
- 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: Miléna Poylo Triple: [Mademoiselle Chambon, producer, Miléna Poylo]
Generated description
Miléna Poylo is a French film producer known for her work on acclaimed contemporary French cinema, including the drama "Mademoiselle Chambon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miléna Poylo Target entity description: Miléna Poylo is a French film producer known for her work on acclaimed contemporary French cinema, including the drama "Mademoiselle Chambon."
-
A.
Petra Volakova
Petra Volakova is known as the wife of former New Jersey Devils star and Czech ice hockey player Patrik Eliáš.
-
B.
Hanna Turchynova
Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
-
C.
Julia Lemigova
Julia Lemigova is a Russian former model, beauty pageant titleholder, and businesswoman who later became known as a cast member on "The Real Housewives of Miami."
-
D.
Tatiana Vilhelmová
Tatiana Vilhelmová is a Czech film and theatre actress known for her acclaimed performances in contemporary Czech cinema and stage productions.
-
E.
Helena-Lia Tachovská
Helena-Lia Tachovská is an actress known for appearing in the film "Hannibal Rising."
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae8b98881909915a157f54762d7 |
completed | May 19, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a0c0b7fe7848190a8e27b09748b735e |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0bf256688190b169657a7831f6d0 |
completed | May 19, 2026, 7:06 a.m. |
Created at: April 17, 2026, 3:55 p.m.