Triple
T17360943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Safari |
E422063
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ce matin-là |
—
|
NE ONDG |
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: Ce matin-là | Statement: [Moon Safari, hasPart, Ce matin-là]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ce matin-là Context triple: [Moon Safari, hasPart, Ce matin-là]
-
A.
Demain, dès l’aube
"Demain, dès l’aube" is a famous poem by Victor Hugo, known for its poignant evocation of grief and a solitary journey to a loved one’s grave.
-
B.
Les Matinaux
Les Matinaux is a celebrated poetry collection by French poet René Char, known for its dense, lyrical style and its reflections on resistance, freedom, and the postwar human condition.
-
C.
Les deux journées
Les deux journées is an opera by Luigi Cherubini, first performed in 1800, renowned for its dramatic intensity and influence on later French opera.
-
D.
Le Sommeil
Le Sommeil is an 1866 erotic painting by Gustave Courbet depicting two nude women asleep in an intimate embrace, often cited as a landmark of realist and lesbian representation in 19th-century art.
-
E.
L’Aube
L’Aube is the original French title of Elie Wiesel’s novel "Dawn," which explores a young Holocaust survivor’s moral struggle as he prepares to execute a British officer in postwar Palestine.
- 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: Ce matin-là Triple: [Moon Safari, hasPart, Ce matin-là]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ce matin-là Target entity description: "Ce matin-là" is a mellow, instrumental track by the French electronic duo Air, featured on their acclaimed 1998 album Moon Safari.
-
A.
Demain, dès l’aube
"Demain, dès l’aube" is a famous poem by Victor Hugo, known for its poignant evocation of grief and a solitary journey to a loved one’s grave.
-
B.
Les Matinaux
Les Matinaux is a celebrated poetry collection by French poet René Char, known for its dense, lyrical style and its reflections on resistance, freedom, and the postwar human condition.
-
C.
Les deux journées
Les deux journées is an opera by Luigi Cherubini, first performed in 1800, renowned for its dramatic intensity and influence on later French opera.
-
D.
Le Sommeil
Le Sommeil is an 1866 erotic painting by Gustave Courbet depicting two nude women asleep in an intimate embrace, often cited as a landmark of realist and lesbian representation in 19th-century art.
-
E.
L’Aube
L’Aube is the original French title of Elie Wiesel’s novel "Dawn," which explores a young Holocaust survivor’s moral struggle as he prepares to execute a British officer in postwar Palestine.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.