Triple
T4359052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Gainsbourg |
E98618
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Ben Attal
Ben Attal is a French actor and the son of actress-singer Charlotte Gainsbourg and filmmaker Yvan Attal.
|
E434243
|
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: Ben Attal | Statement: [Charlotte Gainsbourg, child, Ben Attal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Attal Context triple: [Charlotte Gainsbourg, child, Ben Attal]
-
A.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
B.
Paul Seydor
Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
-
C.
Allen Daviau
Allen Daviau was an acclaimed American cinematographer best known for his visually rich collaborations with director Steven Spielberg on films such as E.T. the Extra-Terrestrial.
-
D.
Ben Seresin
Ben Seresin is a New Zealand-born cinematographer known for his work on large-scale action and blockbuster films such as Godzilla vs. Kong, World War Z, and Transformers: Revenge of the Fallen.
-
E.
Alan Badel
Alan Badel was a British actor known for his distinctive voice and prominent roles in mid-20th-century film, television, and theatre.
- 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: Ben Attal Triple: [Charlotte Gainsbourg, child, Ben Attal]
Generated description
Ben Attal is a French actor and the son of actress-singer Charlotte Gainsbourg and filmmaker Yvan Attal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Attal Target entity description: Ben Attal is a French actor and the son of actress-singer Charlotte Gainsbourg and filmmaker Yvan Attal.
-
A.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
B.
Paul Seydor
Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
-
C.
Allen Daviau
Allen Daviau was an acclaimed American cinematographer best known for his visually rich collaborations with director Steven Spielberg on films such as E.T. the Extra-Terrestrial.
-
D.
Ben Seresin
Ben Seresin is a New Zealand-born cinematographer known for his work on large-scale action and blockbuster films such as Godzilla vs. Kong, World War Z, and Transformers: Revenge of the Fallen.
-
E.
Alan Badel
Alan Badel was a British actor known for his distinctive voice and prominent roles in mid-20th-century film, television, and theatre.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbf9db88190a3058e6a44080000 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc3d81a08190b29b633009fab4ff |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e04f356c81909e3f6f2c865e0f99 |
completed | March 14, 2026, 10:25 p.m. |
Created at: March 12, 2026, 11:16 p.m.