Triple
T16676492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wave |
E405226
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Frederick |
unclear NED1
|
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: Frederick | Statement: [Wave, hasTrack, Frederick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederick Context triple: [Wave, hasTrack, Frederick]
-
A.
Frederick
Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
-
B.
Frederick
Frederick, better known as Lord North, was an 18th-century British prime minister most remembered for leading Britain during the American Revolutionary War.
-
C.
Frederick
Frederick is a masculine given name of Germanic origin that has been borne by numerous notable figures, including scientists, rulers, and artists.
-
D.
Frederick
Frederick, better known professionally as Tyrone Power Sr., was a prominent American stage and silent film actor of the late 19th and early 20th centuries.
-
E.
Frederick
Frederick is a small town located in Colorado’s Front Range region, known for its residential communities and proximity to the Denver metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.