Triple
T9875779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parc de Bercy |
E240068
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Marylène Ferrand
Marylène Ferrand is a French landscape architect known for her role in designing Paris’s Parc de Bercy.
|
E826444
|
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: Marylène Ferrand | Statement: [Parc de Bercy, designedBy, Marylène Ferrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marylène Ferrand Context triple: [Parc de Bercy, designedBy, Marylène Ferrand]
-
A.
Fanny Ardant
Fanny Ardant is a renowned French actress known for her sophisticated screen presence and acclaimed performances in European cinema and theater.
-
B.
Isabelle Adjani
Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
-
C.
Annick Huppert
Annick Huppert is the mother of acclaimed French actress Isabelle Huppert.
-
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.
Violette Nozière
Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
- 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: Marylène Ferrand Triple: [Parc de Bercy, designedBy, Marylène Ferrand]
Generated description
Marylène Ferrand is a French landscape architect known for her role in designing Paris’s Parc de Bercy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marylène Ferrand Target entity description: Marylène Ferrand is a French landscape architect known for her role in designing Paris’s Parc de Bercy.
-
A.
Fanny Ardant
Fanny Ardant is a renowned French actress known for her sophisticated screen presence and acclaimed performances in European cinema and theater.
-
B.
Isabelle Adjani
Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
-
C.
Annick Huppert
Annick Huppert is the mother of acclaimed French actress Isabelle Huppert.
-
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.
Violette Nozière
Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f9d82c81908afb4977ce4e3e4a |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e47b62388190a033743376500375 |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e5d0da7081908e14fe4bc6623ea5 |
completed | April 5, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e6af89f88190abe63f8172182f58 |
completed | April 5, 2026, 4:35 a.m. |
Created at: March 30, 2026, 8:37 p.m.