Triple
T14202268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natural High |
E351992
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Midnight Magic |
E976304
|
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: Midnight Magic | Statement: [Natural High, followedBy, Midnight Magic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midnight Magic Context triple: [Natural High, followedBy, Midnight Magic]
-
A.
Midnight Magic (album)
chosen
Midnight Magic is an album best known for featuring the song "Still," showcasing a smooth blend of soulful, romantic tracks.
-
B.
Midnight Fantasy
"Midnight Fantasy" is a pop song by Victoria Beckham, known from her early 2000s solo music career following her time with the Spice Girls.
-
C.
The Magic Hour
The Magic Hour is a segment or component of the podcast "Radio Silence," likely featuring a distinct thematic focus or format within the show.
-
D.
Memories of Midnight
Memories of Midnight is a bestselling suspense novel by Sidney Sheldon that continues the story of Catherine Douglas amid international intrigue, revenge, and high-stakes power struggles.
-
E.
Midnight Lace
Midnight Lace is a 1960 suspense thriller film best known for starring Doris Day as a terrorized newlywed in London.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f589a08190b71ad4e69d92ffd0 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194f13688190af7ef5ceb92a73ff |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.