Triple
T14455678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priceless |
E358452
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Marie-Christine Adam |
E891982
|
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: Marie-Christine Adam | Statement: [Priceless, castMember, Marie-Christine Adam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie-Christine Adam Context triple: [Priceless, castMember, Marie-Christine Adam]
-
A.
Marie-Christine Adam
chosen
Marie-Christine Adam is a French actress known for her work in film, television, and theater, including roles in popular French comedies and dramas.
-
B.
Marie Christine Gélin
Marie Christine Gélin is the birth name of French actress Maria Schneider, best known for her role in the film "Last Tango in Paris."
-
C.
Marie-Christine Barrault
Marie-Christine Barrault is a French actress known for her work in films such as "Cousin, Cousine," for which she received an Academy Award nomination.
-
D.
Marianne Denicourt
Marianne Denicourt is a French actress known for her work in art-house and mainstream French cinema since the 1980s.
-
E.
Hélène Cruppi
Hélène Cruppi was the wife of French politician and lawyer Jean Cruppi, known primarily through her association with his public and political life.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5c11708190a7fd4c0682b6ed81 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 1:19 a.m.