Triple
T19667650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My My, Hey Hey (Out of the Blue) |
E472240
|
entity |
| Predicate | hasLiveVersionOn |
P21537
|
FINISHED |
| Object | Live Rust |
—
|
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: Live Rust | Statement: [My My, Hey Hey (Out of the Blue), hasLiveVersionOn, Live Rust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live Rust Context triple: [My My, Hey Hey (Out of the Blue), hasLiveVersionOn, Live Rust]
-
A.
Live Rust
chosen
Live Rust is a 1979 live album by Neil Young and Crazy Horse, featuring concert recordings from his Rust Never Sleeps tour.
-
B.
Rust-eze
Rust-eze is a fictional medicated bumper ointment company in the Cars film franchise that serves as Lightning McQueen’s primary sponsor.
-
C.
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.
-
D.
Rust
Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
-
E.
Rust
Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416a10e4819087ad59fcdb4f058a |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.