Triple
T16387316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Vouet |
E397955
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Claude Mellan |
—
|
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: Claude Mellan | Statement: [Simon Vouet, notableStudent, Claude Mellan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude Mellan Context triple: [Simon Vouet, notableStudent, Claude Mellan]
-
A.
Claude Mellan
chosen
Claude Mellan was a 17th-century French engraver and painter renowned for his innovative single-line engraving technique and expressive portraits.
-
B.
Claude Moreau
Claude Moreau is a French painter known for his 19th-century academic and genre scenes.
-
C.
Claude Vannec
Claude Vannec is the central protagonist of André Malraux’s novel "La Voie royale," an adventurer drawn into perilous exploits amid the ruins and jungles of colonial Southeast Asia.
-
D.
Charles Lemaresquier
Charles Lemaresquier was a French architect known for his early 20th-century academic and institutional buildings, continuing the Beaux-Arts tradition in France.
-
E.
Gerald Gouriet
Gerald Gouriet is a composer best known for his work on film and television scores, including the music for the crime drama "L.A. Takedown."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 10, 2026, 5:08 a.m.