Triple
T10353367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNSMDP |
E243937
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Olivier Messiaen |
E146078
|
NE FINISHED |
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: Olivier Messiaen | Statement: [CNSMDP, hasNotableAlumni, Olivier Messiaen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Messiaen Context triple: [CNSMDP, hasNotableAlumni, Olivier Messiaen]
-
A.
Olivier Messiaen
chosen
Olivier Messiaen was a 20th-century French composer, organist, and influential music teacher known for his innovative use of rhythm, harmony, and birdsong.
-
B.
Gérard Roussel
Gérard Roussel was a 16th-century French bishop and humanist reformer associated with early evangelical currents within the Catholic Church.
-
C.
Francis Poulenc
Francis Poulenc was a 20th-century French composer and member of the group Les Six, known for his distinctive blend of lyricism, wit, and emotional depth in both vocal and instrumental music.
-
D.
Maurice Ravel
Maurice Ravel was a French composer of the late Romantic and early modern eras, renowned for his masterful orchestration and works such as Boléro and Daphnis et Chloé.
-
E.
Jean Ravel
Jean Ravel is a French film editor best known for his work on Chris Marker’s influential science-fiction short film "La Jetée."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e949b8e88190ad933399323aed73 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7509c50d48190a567d9613a062efc |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:58 a.m.