Triple
T6144971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dead |
E137052
|
entity |
| Predicate | performedWork |
P20732
|
FINISHED |
| Object | I Know You Rider |
E555836
|
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: I Know You Rider | Statement: [The Dead, performedWork, I Know You Rider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Know You Rider Context triple: [The Dead, performedWork, I Know You Rider]
-
A.
I Know You Rider
chosen
"I Know You Rider" is a traditional American folk/blues song popularized in rock music, especially through performances by the Grateful Dead.
-
B.
Ride for You
"Ride for You" is an R&B ballad by the American girl group Danity Kane from their self-titled debut album, showcasing their harmonies and emotional vocal style.
-
C.
We Ride
"We Ride" is an R&B song by Rihanna, released in 2006 as a single from her second studio album "A Girl Like Me."
-
D.
Let’s Ride
"Let’s Ride" is a rock song best known as the lead single from Kid Rock’s 2013 album "Rebel Soul."
-
E.
Ride It
"Ride It" is a popular R&B-influenced pop song by British singer Jay Sean that became one of his breakout international hits.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb645508190aea2d77c9de174ba |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135fe8ae48190bfb20c335c7d32be |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:16 p.m.