Triple
T19994192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Minutes to Flush (Intro) |
E494147
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Five Minutes to Flush (Intro) |
—
|
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: Five Minutes to Flush (Intro) | Statement: [Five Minutes to Flush (Intro), name, Five Minutes to Flush (Intro)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Five Minutes to Flush (Intro) Context triple: [Five Minutes to Flush (Intro), name, Five Minutes to Flush (Intro)]
-
A.
Five Minutes to Flush (Intro)
chosen
"Five Minutes to Flush (Intro)" is the opening track that sets the tone for the hip hop album *The Firm: The Album* by the rap supergroup The Firm.
-
B.
Five Minutes to Flush
Five Minutes to Flush is a track by the hip hop duo The Firm featured on their 1997 album "The Album."
-
C.
Five Minutes
"Five Minutes" is a popular country music song recorded by American singer Lorrie Morgan that became one of her signature hits in the late 1980s.
-
D.
Ten Minutes
Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
-
E.
Ten Minutes
"Ten Minutes" is a popular emo and indie rock song by The Get Up Kids, known for its energetic tempo and emotionally charged lyrics.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.