Triple
T14740833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Disease III |
E346339
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I'm on Fire |
E216566
|
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: I'm on Fire | Statement: [King's Disease III, hasTrack, I'm on Fire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm on Fire Context triple: [King's Disease III, hasTrack, I'm on Fire]
-
A.
I’m on Fire
chosen
"I'm on Fire" is a 1984 song by Bruce Springsteen, known for its sparse, haunting sound and smoldering vocal delivery.
-
B.
We On Fire
"We On Fire" is a popular late-1990s Southern hip hop track by the Hot Boys that helped cement the group's prominence in the Cash Money Records era.
-
C.
On Fire
"On Fire" is a hip-hop track produced by Kasseem Daoud Dean, better known as Swizz Beatz, showcasing his signature energetic, hard-hitting production style.
-
D.
On Fire
"On Fire" is a popular single by the American rock band Rebirth, known for its energetic sound and memorable hooks.
-
E.
On Fire
On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7345680819093e901233a064e48 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb91fdf88190bdcc9a93289f6b7f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.