Triple
T4807392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like a Hurricane |
E106979
|
entity |
| Predicate | hasLiveVersionOn |
P21537
|
FINISHED |
| Object | Live Rust |
E106983
|
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: Live Rust | Statement: [Like a Hurricane, hasLiveVersionOn, Live Rust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live Rust Context triple: [Like a Hurricane, hasLiveVersionOn, Live Rust]
-
A.
Rust
Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
-
B.
Rust
Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
-
C.
Rust
Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
-
D.
Rust Never Sleeps
chosen
Rust Never Sleeps is a 1979 live album by Neil Young and Crazy Horse, renowned for its blend of acoustic and electric songs and its influential role in shaping alternative and grunge rock.
-
E.
Raus
Raus is a German-language surname most notably associated with Erhard Raus, a high-ranking Wehrmacht general during World War II.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c69099c8190956b6df42bb922c8 |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4da2a1808190bd8d0c073e4bad07 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:23 p.m.