Triple
T22784839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Ernaux |
E563935
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Annie Ernaux |
—
|
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: Annie Ernaux | Statement: [Annie Ernaux, name, Annie Ernaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie Ernaux Context triple: [Annie Ernaux, name, Annie Ernaux]
-
A.
Annie Ernaux
chosen
Annie Ernaux is a French author renowned for her autobiographical and socially engaged novels, and is widely celebrated as one of France’s most important contemporary writers.
-
B.
Patricia Michon
Patricia Michon is an actress known for her role in the 1960 racial drama film "I Passed for White."
-
C.
Jean d’Ormesson
Jean d’Ormesson was a prominent French novelist, journalist, and member of the Académie Française known for his elegant, erudite prose and reflections on history and philosophy.
-
D.
Michel Houellebecq
Michel Houellebecq is a controversial French novelist, poet, and essayist known for his bleak, satirical portrayals of contemporary Western society and its discontents.
-
E.
Marguerite Duras
Marguerite Duras was a French novelist, playwright, and filmmaker renowned for her experimental narrative style and works such as "L'Amant" ("The Lover").
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c30b4dc8190a5e23f4ce7feb300 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.