Triple
T21971133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur and the Invisibles |
E542589
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Éric Serra |
—
|
NE NERFINISHED |
How this triple was built (2 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: Éric Serra | Statement: [Arthur and the Invisibles, musicBy, Éric Serra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éric Serra Context triple: [Arthur and the Invisibles, musicBy, Éric Serra]
-
A.
Laurent Ciman
Laurent Ciman is a Belgian professional footballer and former international center-back known for his standout defensive play in Major League Soccer and Europe.
-
B.
Ludovic Bource
Ludovic Bource is a French composer best known for his award-winning score for the silent film "The Artist."
-
C.
Eric Serra
chosen
Eric Serra is a French film composer best known for his long-time collaboration with director Luc Besson on scores such as "The Big Blue," "Léon: The Professional," and "The Fifth Element."
-
D.
Yann Tiersen
Yann Tiersen is a French musician and composer best known internationally for his whimsical, minimalist score to the film "Amélie."
-
E.
Christophe Beck
Christophe Beck is a Canadian composer best known for his film and television scores, including work on projects like "Buffy the Vampire Slayer" and various major Hollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12484b83081908c08e3285e0b14a9 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:02 p.m.