Triple
T22274178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garde à vue |
E550557
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Guy Marchand |
—
|
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: Guy Marchand | Statement: [Garde à vue, starring, Guy Marchand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Marchand Context triple: [Garde à vue, starring, Guy Marchand]
-
A.
Guy Marchand
chosen
Guy Marchand is a French actor, singer, and musician known for his prolific film and television career, including notable roles in French cinema classics.
-
B.
Paul Marchand
Paul Marchand is an editor known for his work on the publication "Head of State."
-
C.
Jean-Louis Beaudry
Jean-Louis Beaudry was a 19th-century Canadian businessman and politician who served multiple terms as mayor of Montreal and played a key role in the city’s economic development.
-
D.
Yannick Agnel
Yannick Agnel is a French Olympic and world champion freestyle swimmer known for his dominance in middle-distance events, particularly at the 2012 London Games.
-
E.
David Madel
David Madel is a British Conservative politician who served as a Member of Parliament from the 1970s until the late 1990s.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.