Triple
T19584674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow (Hey Oh) |
E490078
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Tell Me Baby |
—
|
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: Tell Me Baby | Statement: [Snow (Hey Oh), precededBySingle, Tell Me Baby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Me Baby Context triple: [Snow (Hey Oh), precededBySingle, Tell Me Baby]
-
A.
Tell Me Baby
chosen
"Tell Me Baby" is a funk-rock song by the Red Hot Chili Peppers, released as a single from their 2006 double album "Stadium Arcadium."
-
B.
Tell Me Mama
"Tell Me Mama" is a song featured on the album "Sons of Soul" by the American R&B group Tony! Toni! Toné!.
-
C.
What's Become of the Baby
"What's Become of the Baby" is an experimental, heavily processed psychedelic track by the Grateful Dead, notable for its abstract vocals and unconventional structure.
-
D.
Song for the Baby
"Song for the Baby" is a track by American singer Kelis from her electronic dance-influenced album "Flesh Tone," reflecting themes of motherhood and love for her child.
-
E.
Lullabye
"Lullabye" is a gentle, atmospheric track by Grizzly Bear featured on their acclaimed album *Yellow House*.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64050127c8190b93b8716a1a4ad81 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.