Triple
T17340533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two English Girls |
E421053
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Marie-France Pisier |
—
|
NE ONNED1 |
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-France Pisier | Statement: [Two English Girls, castMember, Marie-France Pisier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie-France Pisier Context triple: [Two English Girls, castMember, Marie-France Pisier]
-
A.
Marie-France Pisier
chosen
Marie-France Pisier was a French actress and screenwriter renowned for her work in auteur cinema from the 1960s onward, notably in films by François Truffaut and André Téchiné.
-
B.
Marie-José Nat
Marie-José Nat was a French film and television actress known for her nuanced performances in mid-20th-century European cinema.
-
C.
Carine Petit
Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
-
D.
Marie-José Pérec
Marie-José Pérec is a French sprinter and three-time Olympic champion, best known for dominating the 200m and 400m events in the 1990s.
-
E.
Marie-France Grange
Marie-France Grange is a person notable enough to be recognized as a significant bearer of the surname Grange.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019552a0208190bd8bd0f9588911c3 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.