Triple
T17201678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splice |
E417488
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Cyrille Aufort
Cyrille Aufort is a French composer known for his film and television scores, particularly in the science fiction and thriller genres.
|
E1353021
|
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: Cyrille Aufort | Statement: [Splice, musicBy, Cyrille Aufort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyrille Aufort Context triple: [Splice, musicBy, Cyrille Aufort]
-
A.
Brice Tisné
Brice Tisné is a film producer best known for his work on acclaimed independent and art-house films, including the surreal romantic drama "Eternal Sunshine of the Spotless Mind."
-
B.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
C.
Christophe Malavoy
Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
-
D.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
E.
Olivier Bousquet
Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
- 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: Cyrille Aufort Triple: [Splice, musicBy, Cyrille Aufort]
Generated description
Cyrille Aufort is a French composer known for his film and television scores, particularly in the science fiction and thriller genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cyrille Aufort Target entity description: Cyrille Aufort is a French composer known for his film and television scores, particularly in the science fiction and thriller genres.
-
A.
Brice Tisné
Brice Tisné is a film producer best known for his work on acclaimed independent and art-house films, including the surreal romantic drama "Eternal Sunshine of the Spotless Mind."
-
B.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
C.
Christophe Malavoy
Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
-
D.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
E.
Olivier Bousquet
Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b43afd688190b53765906953c6db |
completed | May 14, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_6a05b611d5e88190b9dfd0fce0c0f199 |
completed | May 14, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b69a76dc8190a9ccd3869adb6b4f |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:38 a.m.