Triple
T52344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longy School of Music |
E1027
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Georges Longy |
E1027
|
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: Georges Longy | Statement: [Longy School of Music, namedAfter, Georges Longy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georges Longy Context triple: [Longy School of Music, namedAfter, Georges Longy]
-
A.
Georges Longy
chosen
Georges Longy was a prominent French-born oboist and conductor best known for his influential role in Boston’s musical life and for founding the Longy School of Music.
-
B.
Jules Guérin
Jules Guérin was an American muralist and illustrator known for his architectural murals and color-rich decorative work on major public buildings in the early 20th century.
-
C.
Robert Cailliau
Robert Cailliau is a Belgian computer scientist best known for co-developing the World Wide Web alongside Tim Berners-Lee at CERN.
-
D.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
E.
Harold Hazen
Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b0382b48190a7ca80ade6d2e270 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284f9fcd48190a3331f06d5dc00e8 |
completed | Feb. 28, 2026, 6:02 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.