Triple
T22274138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cours Simon |
E550556
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Claude Jade |
—
|
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 Jade | Statement: [Cours Simon, hasNotableAlumni, Claude Jade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude Jade Context triple: [Cours Simon, hasNotableAlumni, Claude Jade]
-
A.
Claude Jade
chosen
Claude Jade was a French actress best known for her role as Christine in François Truffaut’s Antoine Doinel film series.
-
B.
Claude Luter
Claude Luter was a prominent French jazz clarinetist and bandleader known for his traditional New Orleans–style performances and close collaborations with American jazz musicians.
-
C.
Claude Lancelot
Claude Lancelot was a 17th-century French grammarian and educator associated with the Port-Royal school, known for his influential works on grammar and language pedagogy.
-
D.
Claude Anet
Claude Anet was a French writer and journalist best known for his novels and travel writings, one of which inspired the film "Love in the Afternoon."
-
E.
Claude Beausoleil
Claude Beausoleil is a cinematographer known for his work on the influential French New Wave film "Cléo from 5 to 7."
- 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.