Triple
T5367995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Dylan concert setlists |
E103175
|
entity |
| Predicate | featureWork |
P51454
|
FINISHED |
| Object | I Want You |
E108994
|
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 Want You | Statement: [Bob Dylan concert setlists, featureWork, I Want You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Want You Context triple: [Bob Dylan concert setlists, featureWork, I Want You]
-
A.
I Want You
chosen
"I Want You" is a fast-paced, lyrically intricate love song by Bob Dylan, featured on his 1966 album Blonde on Blonde.
-
B.
I Want You
"I Want You" is a 1976 soul and R&B album by Marvin Gaye, noted for its lush production, sensual themes, and influence on the quiet storm genre.
-
C.
I Want You
"I Want You" is a soulful hip-hop track by Common, produced by will.i.am, known for its smooth, romantic vibe and lush, sample-based instrumentation.
-
D.
I Want You
"I Want You" is a 1954 R&B single by American singer Damita Jo, noted for showcasing her smooth vocal style early in her recording career.
-
E.
I Really Want You
"I Really Want You" is a song by James Blunt featured on his 2007 studio album "All the Lost Souls."
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd91ac1bf08190a9a575c9822de6cc |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2928859881908ac238feca132d07 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.