Triple
T23061710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titane |
E574918
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Garance Marillier |
—
|
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: Garance Marillier | Statement: [Titane, starring, Garance Marillier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garance Marillier Context triple: [Titane, starring, Garance Marillier]
-
A.
Garance Marillier
chosen
Garance Marillier is a French actress best known for her breakout lead role in Julia Ducournau’s acclaimed horror film "Raw."
-
B.
Nelly Auteuil
Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
-
C.
Madeleine Renaud
Madeleine Renaud was a renowned French stage and film actress, celebrated for her work with the Comédie-Française and her influential partnership with director-actor Jean-Louis Barrault.
-
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.
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."
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.