Triple
T17030188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Bécaud |
E413172
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Dimanche à Orly |
E1246905
|
NE FINISHED |
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: Dimanche à Orly | Statement: [Gilbert Bécaud, wroteSong, Dimanche à Orly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dimanche à Orly Context triple: [Gilbert Bécaud, wroteSong, Dimanche à Orly]
-
A.
Dimanche à Orly
chosen
Dimanche à Orly is a popular French chanson by singer-songwriter Gilbert Bécaud that nostalgically evokes the atmosphere of Paris’s Orly Airport on a Sunday.
-
B.
Le Parisien
Le Parisien is a major French daily newspaper known for its coverage of national and local news, sports, and culture, particularly in the Paris region.
-
C.
Les Parisiens
Les Parisiens is a French drama film that follows the intersecting lives and emotional struggles of various characters in contemporary Paris.
-
D.
Les Parisiens
Les Parisiens is the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
-
E.
Sous le ciel de Paris
Sous le ciel de Paris is a classic French chanson, famously interpreted by Juliette Gréco, that evokes the romantic and poetic atmosphere of Paris.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012336cfd481909f93c6ea7c94b49f |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.