Triple
T19269256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassegrain telescope design |
E481876
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Laurent Cassegrain |
—
|
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: Laurent Cassegrain | Statement: [Cassegrain telescope design, namedAfter, Laurent Cassegrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurent Cassegrain Context triple: [Cassegrain telescope design, namedAfter, Laurent Cassegrain]
-
A.
Laurent Cassegrain
chosen
Laurent Cassegrain was a 17th-century French Catholic priest and scientist credited with inventing the Cassegrain reflecting telescope design.
-
B.
Marc Nattier
Marc Nattier was a French painter and the son of the renowned portraitist Jean-Marc Nattier.
-
C.
Georges Rayet
Georges Rayet was a 19th-century French astronomer best known for co-discovering the class of hot, massive Wolf–Rayet stars.
-
D.
Bernard Lyot
Bernard Lyot was a French astronomer best known for inventing the coronagraph, which enabled detailed observations of the Sun’s corona without a solar eclipse.
-
E.
Jean Nicolet
Jean Nicolet was a 17th-century French explorer and interpreter best known for being among the first Europeans to travel into the Great Lakes region of North America and make contact with Indigenous peoples there.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.