Triple
T19035368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Mazilier |
E465853
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joseph Mazilier |
—
|
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: Joseph Mazilier | Statement: [Joseph Mazilier, name, Joseph Mazilier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Mazilier Context triple: [Joseph Mazilier, name, Joseph Mazilier]
-
A.
Joseph Mazilier
chosen
Joseph Mazilier was a 19th-century French ballet dancer, choreographer, and ballet master known for creating several major Romantic ballets.
-
B.
Michel Elie
Michel Elie is a French computer scientist known for his pioneering role in the development of early packet-switching networks, notably through his work on the CYCLADES project.
-
C.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
-
D.
Jean Joseph Maquignaz
Jean Joseph Maquignaz was a 19th-century Alpine mountain guide and climber known for pioneering ascents in the Alps, including notable first climbs in the Matterhorn region.
-
E.
Cedric Mallabey
Cedric Mallabey was a film composer known for his work on mid-20th-century British cinema.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7438f748190912c28912e6b97a6 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.