Triple
T16761023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young Girls of Rochefort |
E407342
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Solange Garnier |
E928293
|
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: Solange Garnier | Statement: [The Young Girls of Rochefort, featuresCharacter, Solange Garnier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solange Garnier Context triple: [The Young Girls of Rochefort, featuresCharacter, Solange Garnier]
-
A.
Victoria Legrand
Victoria Legrand is a French-American musician best known as the vocalist and keyboardist of the dream pop duo Beach House.
-
B.
Giselle Itié
Giselle Itié is a Brazilian-Mexican actress known for her work in Brazilian television and film as well as roles in international action movies.
-
C.
Anne Lauvergeon
Anne Lauvergeon is a French business executive best known for leading the nuclear energy company Areva and for her prominent role in France’s industrial and energy sectors.
-
D.
Yrétha Silété
Yrétha Silété is a French figure skater known for competing at major international events, including the European Figure Skating Championships.
-
E.
Nicole Maurey
chosen
Nicole Maurey was a French film and television actress known for her work in European cinema from the 1940s through the 1970s.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abec638c81909d71ff452a4123c9 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52d077081908080c61da67e0032 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.