Triple
T19383356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Fang (2018 film) |
E484867
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object |
Raphaël Personnaz
Raphaël Personnaz is a French actor known for his work in film, television, and voice acting.
|
E1373203
|
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: Raphaël Personnaz | Statement: [White Fang (2018 film), voiceCastMember, Raphaël Personnaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphaël Personnaz Context triple: [White Fang (2018 film), voiceCastMember, Raphaël Personnaz]
-
A.
Raphaël Poulain
Raphaël Poulain is a fictional character in the film "Amélie," depicted as Amélie Poulain’s emotionally distant, reclusive father.
-
B.
Raphaël Beau
Raphaël Beau is a French composer best known for his whimsical, inventive film scores, particularly his collaboration with director Jean-Pierre Jeunet on the movie "Micmacs à tire-larigot."
-
C.
Raphaël Hallé
Raphaël Hallé is the son of acclaimed French actress Juliette Binoche.
-
D.
Gerard Gauthier
Gerard Gauthier is a former National Hockey League linesman known for officiating numerous games, including high-profile events such as the 1991 NHL All-Star Game.
-
E.
Raphaël Collin
Raphaël Collin was a 19th-century French academic painter known for his refined figure compositions and for mentoring many students who later became influential artists.
- 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: Raphaël Personnaz Triple: [White Fang (2018 film), voiceCastMember, Raphaël Personnaz]
Generated description
Raphaël Personnaz is a French actor known for his work in film, television, and voice acting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raphaël Personnaz Target entity description: Raphaël Personnaz is a French actor known for his work in film, television, and voice acting.
-
A.
Raphaël Poulain
Raphaël Poulain is a fictional character in the film "Amélie," depicted as Amélie Poulain’s emotionally distant, reclusive father.
-
B.
Raphaël Beau
Raphaël Beau is a French composer best known for his whimsical, inventive film scores, particularly his collaboration with director Jean-Pierre Jeunet on the movie "Micmacs à tire-larigot."
-
C.
Raphaël Hallé
Raphaël Hallé is the son of acclaimed French actress Juliette Binoche.
-
D.
Gerard Gauthier
Gerard Gauthier is a former National Hockey League linesman known for officiating numerous games, including high-profile events such as the 1991 NHL All-Star Game.
-
E.
Raphaël Collin
Raphaël Collin was a 19th-century French academic painter known for his refined figure compositions and for mentoring many students who later became influential artists.
- 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_6a072b7ec8ac8190b9330f239e44f795 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072de198fc8190838ce30942cc46df |
completed | May 15, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e5e62a88190af09d9911a6f1413 |
completed | May 15, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:35 p.m.