Triple
T3789625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Neveu |
E89612
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Audrey Tautou |
E72816
|
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: Audrey Tautou | Statement: [Sophie Neveu, portrayedBy, Audrey Tautou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audrey Tautou Context triple: [Sophie Neveu, portrayedBy, Audrey Tautou]
-
A.
Audrey Tautou
chosen
Audrey Tautou is a French actress best known internationally for her lead role in the film "Amélie" and for starring in several major French and Hollywood productions.
-
B.
Juliette Binoche
Juliette Binoche is an acclaimed French actress known for her nuanced performances in international cinema and her Academy Award-winning role in "The English Patient."
-
C.
Julie Delpy
Julie Delpy is a French-American actress, filmmaker, and screenwriter best known for co-writing and starring in Richard Linklater’s "Before" trilogy.
-
D.
Virginie Ledoyen
Virginie Ledoyen is a French actress known for her work in both French cinema and international films, including prominent roles in dramas and thrillers.
-
E.
Melanie Thierry
Melanie Thierry is a French actress and former model known for her roles in both European cinema and international films.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76733248190a24a1143c64bd6c6 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb1c90648190a76cee07508a83b9 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.