Triple
T14577650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Kaplan |
E342096
|
entity |
| Predicate | programmedGame |
P27366
|
FINISHED |
| Object | Kaboom! |
E1106145
|
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: Kaboom! | Statement: [Larry Kaplan, programmedGame, Kaboom!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaboom! Context triple: [Larry Kaplan, programmedGame, Kaboom!]
-
A.
Kaboom!
chosen
Kaboom! is a fast-paced 1981 Atari 2600 action video game in which players catch falling bombs with buckets, widely regarded as one of the console’s classic titles.
-
B.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
-
C.
Ka-boom Ka-boom
"Ka-boom Ka-boom" is a track by Marilyn Manson featured on his 2003 industrial metal album *The Golden Age of Grotesque*.
-
D.
Kaboom Town!
Kaboom Town! is an annual Independence Day fireworks and entertainment festival held in Addison, Texas, known for one of the most spectacular pyrotechnic displays in the United States.
-
E.
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.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.