Triple
T18156385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirabeau |
E434640
|
entity |
| Predicate | followsOnTrack |
P25512
|
FINISHED |
| Object | Massenet |
—
|
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: Massenet | Statement: [Mirabeau, followsOnTrack, Massenet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massenet Context triple: [Mirabeau, followsOnTrack, Massenet]
-
A.
Massenet
chosen
Massenet is a medium-speed, sweeping left-hand corner on the Monaco Grand Prix street circuit, known for its technical challenge and proximity to the barriers.
-
B.
Jules Massenet
Jules Massenet was a prominent French Romantic composer best known for his operas, including "Manon" and "Werther," which have remained staples of the international repertoire.
-
C.
Charles Gounod
Charles Gounod was a 19th-century French composer best known for his operas, particularly "Faust" and "Roméo et Juliette," as well as his influential sacred music.
-
D.
Adolphe Adam
Adolphe Adam was a 19th-century French composer best known for his ballets and operas, including the enduring ballet "Giselle."
-
E.
Fromental Halévy
Fromental Halévy was a 19th-century French composer best known for his grand operas, particularly the influential work "La Juive."
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.