Triple
T20736849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-66 |
E509732
|
entity |
| Predicate | crewMember |
P2094
|
FINISHED |
| Object | Jean-François Clervoy |
—
|
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: Jean-François Clervoy | Statement: [STS-66, crewMember, Jean-François Clervoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-François Clervoy Context triple: [STS-66, crewMember, Jean-François Clervoy]
-
A.
Jean-François Clervoy
chosen
Jean-François Clervoy is a French engineer and former ESA astronaut who flew on three NASA Space Shuttle missions.
-
B.
Lucien Millevoye
Lucien Millevoye was a French nationalist politician, journalist, and lawyer active in the late 19th and early 20th centuries.
-
C.
Aimé Sauffroy
Aimé Sauffroy was a French architect known for overseeing the reconstruction of the historic Théâtre de la Porte Saint-Martin in Paris.
-
D.
Léon Dupuis
Léon Dupuis is a young law clerk in Gustave Flaubert's novel "Madame Bovary," who becomes Emma Bovary's romantic lover and represents her yearning for passion and escape from provincial life.
-
E.
Pierre Naville
Pierre Naville was a French writer, sociologist, and political activist associated with the early Surrealist movement in Paris and later known for his Marxist and Trotskyist engagements.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20ac6e881908524be890be699e7 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.