Triple
T10482331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madagascar: Escape 2 Africa |
E247202
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
|
E868197
|
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: Mireille Soria | Statement: [Madagascar: Escape 2 Africa, producer, Mireille Soria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mireille Soria Context triple: [Madagascar: Escape 2 Africa, producer, Mireille Soria]
-
A.
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.
-
B.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
C.
Joëlle Léandre
Joëlle Léandre is a renowned French double bassist, composer, and leading figure in contemporary improvised and experimental music.
-
D.
Denise Darcel
Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
-
E.
Bernadette Lafont
Bernadette Lafont was a pioneering French actress closely associated with the French New Wave, known for her bold, unconventional roles across art-house and popular cinema.
- 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: Mireille Soria Triple: [Madagascar: Escape 2 Africa, producer, Mireille Soria]
Generated description
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mireille Soria Target entity description: Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
-
A.
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.
-
B.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
C.
Joëlle Léandre
Joëlle Léandre is a renowned French double bassist, composer, and leading figure in contemporary improvised and experimental music.
-
D.
Denise Darcel
Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
-
E.
Bernadette Lafont
Bernadette Lafont was a pioneering French actress closely associated with the French New Wave, known for her bold, unconventional roles across art-house and popular cinema.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095d21c08190a0b2f3e57fabb1d8 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90db8b1288190bb6bb064cb0724e0 |
completed | April 10, 2026, 2:48 p.m. |
| NEDg | Description generation | batch_69d9100604e08190b744b361d60188d5 |
completed | April 10, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d910a1cdb88190988db41e97341ed9 |
completed | April 10, 2026, 3 p.m. |
Created at: April 6, 2026, 12:22 p.m.