Triple
T4151827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Opera Orchestra |
E89923
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Met Orchestra |
E397669
|
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: Met Orchestra | Statement: [Metropolitan Opera Orchestra, shortName, Met Orchestra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Met Orchestra Context triple: [Metropolitan Opera Orchestra, shortName, Met Orchestra]
-
A.
Bell Orchestre
Bell Orchestre is a Canadian instrumental ensemble known for its experimental, orchestral post-rock sound and close ties to members of Arcade Fire.
-
B.
Orchestra, Inc.
Orchestra, Inc. is a software development company best known for creating the popular email client application Mailbox.
-
C.
Orcet
Orcet is a small commune in the Puy-de-Dôme department of central France, known as the birthplace of French revolutionary figure Georges Couthon.
-
D.
Penguin Orchestra
Penguin Orchestra is a group of musical penguin Muppets that perform as part of the attraction Muppet*Vision 3D.
-
E.
Metropole Orkest
chosen
Metropole Orkest is a renowned Dutch hybrid jazz and pop orchestra known for its genre-crossing collaborations and richly orchestrated performances.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0276363081908e4d17684291b547 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3707a8819082bafd0d11b7359f |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.