Triple
T11801193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaime Luis Gomez |
E280628
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Boom Boom Pow |
E39849
|
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: Boom Boom Pow | Statement: [Jaime Luis Gomez, notableSong, Boom Boom Pow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boom Boom Pow Context triple: [Jaime Luis Gomez, notableSong, Boom Boom Pow]
-
A.
Boom Boom Pow
chosen
"Boom Boom Pow" is a 2009 electro-pop and hip-hop single by the Black Eyed Peas that became a global hit and topped the Billboard Hot 100 for multiple weeks.
-
B.
Boom Boom
"Boom Boom" is a classic 1961 electric blues song by John Lee Hooker that became one of his most famous and frequently covered recordings.
-
C.
Boom-Boom
Boom-Boom is a Marvel Comics mutant superhero known for generating explosive energy "time-bombs" and serving on teams like the New Mutants and X-Force.
-
D.
Red Hot & Boom
Red Hot & Boom is a large annual Independence Day-themed fireworks and music festival held in Altamonte Springs, Florida.
-
E.
Bang Bang
"Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13129fa608190b080dc27f8bd7803 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.