Triple
T23179346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After 7 |
E579109
|
entity |
| Predicate | hasAlbum |
P1995
|
FINISHED |
| Object | After 7 |
—
|
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: After 7 | Statement: [After 7, hasAlbum, After 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: After 7 Context triple: [After 7, hasAlbum, After 7]
-
A.
After 7
chosen
After 7 is an American R&B vocal group known for its smooth harmonies and late-1980s and 1990s hits blending soulful ballads with contemporary new jack swing.
-
B.
Right After
Right After is an artwork by Eva Hesse, a pioneering postminimalist artist known for her experimental use of materials and organic, sculptural forms.
-
C.
The After
"The After" is a science fiction drama pilot created by Chris Carter that follows eight strangers struggling to survive in a chaotic, post-apocalyptic world.
-
D.
After Eight
After Eight is a popular brand of thin, square dark chocolate mints with a fondant filling, traditionally associated with after-dinner treats.
-
E.
Before and After
"Before and After" is a 1996 American drama film, based on Rosellen Brown’s novel, about a family’s turmoil after their teenage son is accused of murder.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6dad948190a64f80f2c9e8e4cb |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.