Triple
T9780666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busy Philipps |
E237359
|
entity |
| Predicate | hostOf |
P105
|
FINISHED |
| Object | Busy Tonight |
E820615
|
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: Busy Tonight | Statement: [Busy Philipps, hostOf, Busy Tonight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busy Tonight Context triple: [Busy Philipps, hostOf, Busy Tonight]
-
A.
Busy Tonight
chosen
Busy Tonight is a late-night talk show hosted by actress and writer Busy Philipps, featuring celebrity interviews, pop culture commentary, and comedic segments.
-
B.
Later Tonight
"Later Tonight" is a song featured on the album "Please" by the Pet Shop Boys.
-
C.
Tonight and Every Night
Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
-
D.
Not Tonight
"Not Tonight" is a hardcore punk single by the band Hard Core, known for its aggressive sound and raw energy.
-
E.
Daytime Hustler
"Daytime Hustler" is a song by Bette Midler from her debut album "The Divine Miss M," showcasing her brassy, theatrical pop style.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b0b15881909ef52d0156148c59 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c41b31b08190937f374c2d51aa1b |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.