Triple
T3120566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tipping Point |
E65172
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Boom!
"Boom!" is a song featured on the album "The Tipping Point."
|
E328458
|
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: Boom! | Statement: [The Tipping Point, hasTrack, Boom!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boom! Context triple: [The Tipping Point, hasTrack, Boom!]
-
A.
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.
-
B.
Attack!
Attack! is a 1956 American World War II drama film directed by Robert Aldrich, noted for its intense portrayal of battlefield cowardice and moral conflict within a U.S. Army unit.
-
C.
Jump!
Jump! is a 1984 concept album by American composer Van Dyke Parks that blends orchestral pop and storytelling, inspired by the tales of Uncle Remus.
-
D.
Whaam!
Whaam! is a famous 1963 pop art painting by Roy Lichtenstein that depicts a stylized fighter jet shooting down an enemy plane in a comic book-inspired format.
-
E.
The Boomsday Project
The Boomsday Project is a Hearthstone expansion themed around mad science and Dr. Boom, featuring experimental cards and mechanics centered on inventions and laboratories.
- 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: Boom! Triple: [The Tipping Point, hasTrack, Boom!]
Generated description
"Boom!" is a song featured on the album "The Tipping Point."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boom! Target entity description: "Boom!" is a song featured on the album "The Tipping Point."
-
A.
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.
-
B.
Attack!
Attack! is a 1956 American World War II drama film directed by Robert Aldrich, noted for its intense portrayal of battlefield cowardice and moral conflict within a U.S. Army unit.
-
C.
Jump!
Jump! is a 1984 concept album by American composer Van Dyke Parks that blends orchestral pop and storytelling, inspired by the tales of Uncle Remus.
-
D.
Whaam!
Whaam! is a famous 1963 pop art painting by Roy Lichtenstein that depicts a stylized fighter jet shooting down an enemy plane in a comic book-inspired format.
-
E.
The Boomsday Project
The Boomsday Project is a Hearthstone expansion themed around mad science and Dr. Boom, featuring experimental cards and mechanics centered on inventions and laboratories.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6bc644819093a7cab7220f4ca0 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b21065c6208190bde60417ba23997b |
completed | March 12, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b210c280ec819081ded9261dc59cf3 |
completed | March 12, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:04 p.m.