Triple
T17688855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit It Run |
E440967
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Raising Hell |
—
|
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: Raising Hell | Statement: [Hit It Run, album, Raising Hell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raising Hell Context triple: [Hit It Run, album, Raising Hell]
-
A.
Raising Hell
chosen
Raising Hell is a landmark 1986 hip-hop album by Run-D.M.C. that helped bring rap music into the mainstream and solidified the genre’s commercial and cultural impact.
-
B.
Go to Hell
"Go to Hell" is a song by the jazz vocalist and songwriter Nina Simone, featured on her 1967 album "Silk & Soul."
-
C.
High As Hell
High As Hell is a song featured on the hip-hop project "Yellow Tape."
-
D.
Straight Out of Hell
Straight Out of Hell is a 2013 power metal album by German band Helloween, known for its energetic, melodic style and modern take on the group’s classic sound.
-
E.
Road to Hell
"Road to Hell" is the rousing, narrative-opening song from the folk-opera musical *Hadestown*, introducing its myth-inspired world and central characters.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704a6bb4819083752285baf3b3ee |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.