Triple
T1951864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da 5 Bloods |
E42175
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jean Reno |
E72335
|
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: Jean Reno | Statement: [Da 5 Bloods, stars, Jean Reno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Reno Context triple: [Da 5 Bloods, stars, Jean Reno]
-
A.
Jean Reno
chosen
Jean Reno is a French actor known for his roles in films such as Léon: The Professional, The Big Blue, and Mission: Impossible.
-
B.
James Thierrée
James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
-
C.
Daniel Auteuil
Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
-
D.
Michel Serrault
Michel Serrault was a celebrated French actor known for his versatile performances in film, theater, and television, particularly his iconic role in "La Cage aux Folles."
-
E.
Gérard Depardieu
Gérard Depardieu is a renowned French actor celebrated for his prolific film career and status as one of France’s most prominent cinematic figures.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb34eb5748190a3ac395252951eba |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbc3cf6881909d42a04be18c3c73 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.