Triple
T20794041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Why Not |
E511860
|
entity |
| Predicate | isPartOfAlbum |
P1995
|
FINISHED |
| Object | Gone |
—
|
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: Gone | Statement: [Baby Why Not, isPartOfAlbum, Gone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gone Context triple: [Baby Why Not, isPartOfAlbum, Gone]
-
A.
Gone
"Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
-
B.
Gone
"Gone" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he confronts a vengeful crime lord he once helped put away.
-
C.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
-
D.
Gone
chosen
"Gone" is a song featured on the album "On and On," likely contributing to the record's overall mood and thematic continuity.
-
E.
Gone
"Gone" is a song that features the track "Heart of Stone," likely within its single or album release.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2abbcc8819091bb0225a0650ab6 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.