Triple
T14456095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mood Indigo (2013 film) |
E358462
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Étienne Charry |
—
|
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: Étienne Charry | Statement: [Mood Indigo (2013 film), composer, Étienne Charry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Étienne Charry Context triple: [Mood Indigo (2013 film), composer, Étienne Charry]
-
A.
Étienne Charry
chosen
Étienne Charry is a French musician and composer known for his inventive pop songwriting and work on film and television scores.
-
B.
Lucien Chardon
Lucien Chardon is the ambitious young poet from the provinces whose rise and fall in Parisian society form the tragic core of Honoré de Balzac’s novel "Illusions perdues."
-
C.
Étienne Guichard
Étienne Guichard is the father of French actress and model Clémence Poésy.
-
D.
Pierre Lafue
Pierre Lafue was a French writer and intellectual whose legacy is honored by a literary foundation prize bearing his name.
-
E.
Pierre Mathonier
Pierre Mathonier is a French local politician who serves as the mayor of the town of Aurillac in the Cantal department.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
Created at: April 10, 2026, 1:19 a.m.