Triple
T17600892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian LeBlanc |
E428696
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Christian LeBlanc |
—
|
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: Christian LeBlanc | Statement: [Christian LeBlanc, name, Christian LeBlanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian LeBlanc Context triple: [Christian LeBlanc, name, Christian LeBlanc]
-
A.
Christian LeBlanc
chosen
Christian LeBlanc is an American actor best known for his long-running role as Michael Baldwin on the soap opera "The Young and the Restless."
-
B.
Christian Leblanc
Christian Leblanc is a French Egyptologist known for his extensive research and publications on ancient Egyptian civilization and archaeological sites.
-
C.
Brice Beaugier
Brice Beaugier is an actor known for his role in the romantic drama film "Le Week-End."
-
D.
Dominic Viens
Dominic Viens is a video game developer best known as the founder of the Quebec City–based game studio Beenox.
-
E.
Colin Fournier
Colin Fournier is a British architect and academic best known for his innovative, experimental designs and his co-authorship of the iconic biomorphic Kunsthaus Graz in Austria.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c48dfc08190ba360e6082cffa87 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.