Triple
T9116773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyazawa Masaki |
E218739
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
The Boom
The Boom was a Japanese rock band best known for their 1993 hit single "Shima Uta," which blended rock with Okinawan folk influences.
|
E779778
|
NE FINISHED |
How this triple was built (4 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: The Boom | Statement: [Miyazawa Masaki, memberOf, The Boom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Boom Context triple: [Miyazawa Masaki, memberOf, The Boom]
-
A.
Da Boom
"Da Boom" is a notable early Family Guy episode best known for its Y2K apocalypse storyline and the first appearance of recurring character Mort Goldman.
-
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.
Here Comes the Boom
Here Comes the Boom is a 2012 sports comedy film starring Kevin James as a high school teacher who becomes a mixed martial arts fighter to raise money for his school.
-
D.
Red Hot & Boom
Red Hot & Boom is a large annual Independence Day-themed fireworks and music festival held in Altamonte Springs, Florida.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Boom Triple: [Miyazawa Masaki, memberOf, The Boom]
Generated description
The Boom was a Japanese rock band best known for their 1993 hit single "Shima Uta," which blended rock with Okinawan folk influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Boom Target entity description: The Boom was a Japanese rock band best known for their 1993 hit single "Shima Uta," which blended rock with Okinawan folk influences.
-
A.
Da Boom
"Da Boom" is a notable early Family Guy episode best known for its Y2K apocalypse storyline and the first appearance of recurring character Mort Goldman.
-
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.
Here Comes the Boom
Here Comes the Boom is a 2012 sports comedy film starring Kevin James as a high school teacher who becomes a mixed martial arts fighter to raise money for his school.
-
D.
Red Hot & Boom
Red Hot & Boom is a large annual Independence Day-themed fireworks and music festival held in Altamonte Springs, Florida.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- F. None of above. chosen
Provenance (5 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a4c9e08190ba3603a5d00afb20 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307299ec8190acade4f388642e23 |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d034941af48190b612bdeb4e2a1648 |
completed | April 3, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d035250d1481908a7a0e108360192e |
completed | April 3, 2026, 9:46 p.m. |
Created at: March 30, 2026, 7:17 p.m.