Triple
T12273327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakes Mda |
E292523
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Black Diamond |
E801446
|
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: Black Diamond | Statement: [Zakes Mda, notableWork, Black Diamond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Diamond Context triple: [Zakes Mda, notableWork, Black Diamond]
-
A.
Black Diamond
Black Diamond was an early steam locomotive associated with the pioneering Stockton and Darlington Railway, one of the first public railways to use steam power for freight and passengers.
-
B.
Black Diamond
Black Diamond was the historic coal-mining town in Contra Costa County, California, that later became part of the modern city of Pittsburg.
-
C.
Black Diamond
chosen
Black Diamond is a theatrical production known for being staged by Chicago's Lookingglass Theatre Company.
-
D.
Black Glacier
Black Glacier is a mountain glacier located on the slopes of Mount Olympus in Washington's Olympic Mountains.
-
E.
Snow Falls
Snow Falls is a scenic waterfall located within Tennessee’s Laurel-Snow State Natural Area, known for its rugged gorge setting and popular hiking access.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6b50a48190b1beabd149d5830f |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.