Triple
T23486586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell Big Red Marching Band |
E570549
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BRMB |
—
|
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: BRMB | Statement: [Cornell Big Red Marching Band, shortName, BRMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRMB Context triple: [Cornell Big Red Marching Band, shortName, BRMB]
-
A.
BRMB
chosen
BRMB is the commonly used abbreviation for the Big Red Marching Band, the marching band of Cornell University.
-
B.
R.Br.
R.Br. is the standard botanical author abbreviation for Robert Brown, a pioneering Scottish botanist known for his work on plant taxonomy and the discovery of Brownian motion.
-
C.
BM
BM is the commonly used abbreviation for the Bank of Mozambique, the central bank responsible for monetary policy and financial regulation in Mozambique.
-
D.
BM
BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
-
E.
BM
BM is the vehicle registration code assigned to the city of Sumy in Ukraine.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:04 p.m.