Triple
T22575422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soundbombing |
E544380
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Soundbombing II |
—
|
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: Soundbombing II | Statement: [Soundbombing, hasPart, Soundbombing II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soundbombing II Context triple: [Soundbombing, hasPart, Soundbombing II]
-
A.
Soundbombing II
chosen
Soundbombing II is a highly regarded late-1990s underground hip-hop compilation album showcasing prominent and emerging artists from the Rawkus Records roster.
-
B.
Soundbombing
Soundbombing is a seminal late-1990s hip hop compilation series showcasing underground and alternative rap artists associated with the Rawkus Records label.
-
C.
Starbomb
Starbomb is a comedy musical group formed by YouTubers Arin Hanson and Dan Avidan that creates parody songs about video games.
-
D.
Las Bombas
Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.