Triple
T14455628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coco Before Chanel |
E358451
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Anne Fontaine |
E1100700
|
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: Anne Fontaine | Statement: [Coco Before Chanel, screenwriter, Anne Fontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Fontaine Context triple: [Coco Before Chanel, screenwriter, Anne Fontaine]
-
A.
Anne Fontaine
chosen
Anne Fontaine is a French film director and screenwriter known for her character-driven dramas and nuanced portrayals of women.
-
B.
Tania Saulnier
Tania Saulnier is a Canadian actress best known for her leading role in the horror-comedy film "Slither."
-
C.
Céline Sciamma
Céline Sciamma is a critically acclaimed French filmmaker known for her intimate, visually precise explorations of gender, sexuality, and coming-of-age, including films like "Portrait of a Lady on Fire" and "Girlhood."
-
D.
Maïwenn
Maïwenn is a French actress and filmmaker known for her intense, character-driven dramas and acclaimed direction in contemporary French cinema.
-
E.
Karine Franclet
Karine Franclet is a French politician who serves as the mayor of Aubervilliers, a suburb of Paris.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d86dbc0819085fef8fa8b45b373 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.