Triple
T19383357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Fang (2018 film) |
E484867
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object |
Dimitri Rataud
Dimitri Rataud is a French voice actor known for his role in the animated film "White Fang" (2018).
|
E1432673
|
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: Dimitri Rataud | Statement: [White Fang (2018 film), voiceCastMember, Dimitri Rataud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dimitri Rataud Context triple: [White Fang (2018 film), voiceCastMember, Dimitri Rataud]
-
A.
Olivier Rabourdin
Olivier Rabourdin is a French actor known for his supporting roles in international films and television, including action and thriller productions.
-
B.
Laurent Duret
Laurent Duret is a French evolutionary biologist and geneticist known for his work on genome evolution, mutation processes, and the forces shaping genomic landscapes in eukaryotes.
-
C.
Pascal Deguilhem
Pascal Deguilhem is a French politician known for his role in centrist politics, including involvement in the creation of the Union of Democrats and Independents (UDI).
-
D.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
E.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
- 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: Dimitri Rataud Triple: [White Fang (2018 film), voiceCastMember, Dimitri Rataud]
Generated description
Dimitri Rataud is a French voice actor known for his role in the animated film "White Fang" (2018).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dimitri Rataud Target entity description: Dimitri Rataud is a French voice actor known for his role in the animated film "White Fang" (2018).
-
A.
Olivier Rabourdin
Olivier Rabourdin is a French actor known for his supporting roles in international films and television, including action and thriller productions.
-
B.
Laurent Duret
Laurent Duret is a French evolutionary biologist and geneticist known for his work on genome evolution, mutation processes, and the forces shaping genomic landscapes in eukaryotes.
-
C.
Pascal Deguilhem
Pascal Deguilhem is a French politician known for his role in centrist politics, including involvement in the creation of the Union of Democrats and Independents (UDI).
-
D.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
E.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a614cf88190b561eafaa350ce19 |
completed | April 20, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088af613dc81908d346f4df93f05fa |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c0f55348190b33ab62ed033ed39 |
completed | May 16, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d00188c8190bb8da973f31b1e47 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 10, 2026, 1:35 p.m.