Triple
T22864640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Lamy |
E567017
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alexandra Lamy |
—
|
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: Alexandra Lamy | Statement: [Alexandra Lamy, name, Alexandra Lamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Lamy Context triple: [Alexandra Lamy, name, Alexandra Lamy]
-
A.
Alexandra Lamy
chosen
Alexandra Lamy is a French actress best known for her comedic roles in film and television, particularly the hit series "Un gars, une fille."
-
B.
Alexandra Boiger
Alexandra Boiger is a German-born illustrator best known for her expressive, character-driven artwork in numerous children's books, including the bestselling "She Persisted" series.
-
C.
Caroline Dhavernas
Caroline Dhavernas is a Canadian actress best known for her roles in television series such as "Wonderfalls" and "Hannibal."
-
D.
Catherine Lalumière
Catherine Lalumière is a French politician and lawyer known for her prominent role in European institutions and advocacy for European integration and human rights.
-
E.
Christine Guillemy
Christine Guillemy is a French local politician who serves as the mayor of the city of Chaumont in northeastern France.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17effd93081909f2c9a8857a8728b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.