Triple
T19744993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Young and Crazy Horse |
E474226
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Live Rust |
E474227
|
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: [Neil Young and Crazy Horse, notableWork, Live Rust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live Rust Context triple: [Neil Young and Crazy Horse, notableWork, 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.
October Rust
"October Rust" is a 1996 gothic metal album by Type O Negative, known for its lush, atmospheric sound and romantic, melancholic themes.
-
D.
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.
-
E.
Rust
Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e652923fd48190982c51c39814fd08 |
completed | April 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd62a4948190a18cb92909593839 |
completed | May 16, 2026, 12:42 a.m. |
Created at: April 10, 2026, 1:47 p.m.