Triple
T11120690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Coupole |
E263006
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | Brigitte Bardot |
E248225
|
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: Brigitte Bardot | Statement: [La Coupole, hasClient, Brigitte Bardot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brigitte Bardot Context triple: [La Coupole, hasClient, Brigitte Bardot]
-
A.
Brigitte Bardot
chosen
Brigitte Bardot is a French former film actress and sex symbol of the 1950s and 1960s who later became a prominent animal rights activist.
-
B.
Emmanuelle Béart
Emmanuelle Béart is a French actress acclaimed for her performances in films such as "Manon des Sources" and "Mission: Impossible."
-
C.
Jacqueline Moreau
Jacqueline Moreau is a French costume designer best known for her work on the classic musical film "The Umbrellas of Cherbourg."
-
D.
Brigitte Helm
Brigitte Helm was a German actress best known for her iconic dual role as Maria and the Maschinenmensch in Fritz Lang’s pioneering science fiction film "Metropolis."
-
E.
Nathalie Delon
Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af911b881908168f23a4918231c |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.