Triple
T16569583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shock Value II |
E402549
|
entity |
| Predicate | singleFrom |
P28436
|
FINISHED |
| Object | Morning After Dark |
E1220787
|
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: Morning After Dark | Statement: [Shock Value II, singleFrom, Morning After Dark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morning After Dark Context triple: [Shock Value II, singleFrom, Morning After Dark]
-
A.
Morning After Dark
chosen
"Morning After Dark" is a 2009 electro-pop and hip-hop single by producer Timbaland, featuring Nelly Furtado and SoShy, known for its dark, club-oriented sound and vampire-themed music video.
-
B.
Long After Dark
Long After Dark is a 1982 rock album by Tom Petty and the Heartbreakers that features a more polished, radio-friendly sound and includes the hit single "You Got Lucky."
-
C.
Soon After Midnight
"Soon After Midnight" is a song by Bob Dylan, known as a moody, romantic ballad from his 2012 album "Tempest."
-
D.
After Dark, My Sweet
After Dark, My Sweet is a 1990 neo-noir crime drama film adapted from a Jim Thompson novel, noted for its moody atmosphere and psychologically driven story.
-
E.
The After Hours
"The After Hours" is a classic 1960 episode of the anthology series The Twilight Zone, known for its eerie department-store setting and twist involving mannequins coming to life.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759424348190889dacbbc7435238 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.