Triple
T16761022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young Girls of Rochefort |
E407342
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Delphine Garnier |
E1038670
|
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: Delphine Garnier | Statement: [The Young Girls of Rochefort, featuresCharacter, Delphine Garnier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delphine Garnier Context triple: [The Young Girls of Rochefort, featuresCharacter, Delphine Garnier]
-
A.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
-
B.
Jeanne Gobillard
Jeanne Gobillard was a French woman known primarily as the wife of poet and essayist Paul Valéry and as a member of a family connected to the Impressionist art world.
-
C.
Yvette Chauviré
Yvette Chauviré was a renowned French ballerina celebrated as one of the greatest étoiles of the 20th century and a defining figure of classical ballet in France.
-
D.
Michèle Girardon
chosen
Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
-
E.
Yvette Giraud
Yvette Giraud was a French traditional pop singer known for her romantic chansons and popularity in both France and Japan in the mid-20th century.
- 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_6a00c798389c8190aa9865d9aa746da5 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:21 a.m.