Triple
T14077768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intimacy |
E338781
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Éric Neveux
Éric Neveux is a French film and television composer known for his atmospheric and emotionally nuanced scores.
|
E1180082
|
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: Éric Neveux | Statement: [Intimacy, musicBy, Éric Neveux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éric Neveux Context triple: [Intimacy, musicBy, Éric Neveux]
-
A.
Éric Pliez
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
-
B.
Denis Ménochet
Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
-
C.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
-
D.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
E.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
- 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: Éric Neveux Triple: [Intimacy, musicBy, Éric Neveux]
Generated description
Éric Neveux is a French film and television composer known for his atmospheric and emotionally nuanced scores.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Éric Neveux Target entity description: Éric Neveux is a French film and television composer known for his atmospheric and emotionally nuanced scores.
-
A.
Éric Pliez
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
-
B.
Denis Ménochet
Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
-
C.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
-
D.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
E.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11c81f481909129eef69e47d079 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 9, 2026, 10:21 p.m.