Triple
T16723040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champion Sound |
E406395
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object | MED |
E1230108
|
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: MED | Statement: [Champion Sound, features, MED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MED Context triple: [Champion Sound, features, MED]
-
A.
MED
MED is the abbreviation for the ASME Micro and Nano Engineering Division, a technical group within the American Society of Mechanical Engineers focused on micro- and nanoscale engineering technologies.
-
B.
MED
MED is the commonly used abbreviation for the Manhattan Engineer District, the U.S. Army Corps of Engineers project that directed the development of the atomic bomb during World War II.
-
C.
MED
MED is the IATA airport code for Prince Mohammad bin Abdulaziz International Airport serving the city of Medina in Saudi Arabia.
-
D.
MED
chosen
MED is an American underground hip-hop rapper and frequent Stones Throw Records collaborator known for his work with producers like Madlib (Otis Jackson Jr.).
-
E.
Medicina
Medicina is a municipality in Italy’s Emilia-Romagna region, known for its historic town center and proximity to Bologna.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e387449eb08190b174f8e142ea631b |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaef72fc8190975edfe5076ed9db |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:20 a.m.