Triple
T21611440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Been Better |
E533317
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tomorrow |
—
|
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: Tomorrow | Statement: [Never Been Better, hasPart, Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Context triple: [Never Been Better, hasPart, Tomorrow]
-
A.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
B.
Tomorrow
"Tomorrow" is an immersive, large-scale installation by the artist duo Elmgreen & Dragset that stages a fictional domestic environment to explore themes of identity, class, and social performance.
-
C.
Tomorrow
"Tomorrow" is a breakthrough 1994 grunge-influenced rock song by Australian band Silverchair that brought them international fame as teenagers.
-
D.
Tomorrow
"Tomorrow" is a 2012 alternative rock single by Irish band The Cranberries, known for its melodic sound and reflective lyrics, released from their album "Roses."
-
E.
Tomorrow
chosen
"Tomorrow" is a song from the album *Leave It to Me!* by the American punk rock band The Donnas.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e88f7081909371bc0de2147609 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.