Triple
T22822229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risk |
E565259
|
entity |
| Predicate | leadSingle |
P15292
|
FINISHED |
| Object |
Crush 'Em
"Crush 'Em" is a heavy metal song by Megadeth, best known as a stadium-style anthem that was featured on their 1999 album "Risk."
|
E1557308
|
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: Crush 'Em | Statement: [Risk, leadSingle, Crush 'Em]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crush 'Em Context triple: [Risk, leadSingle, Crush 'Em]
-
A.
Crush Em
"Crush Em" is a track from Lil Uzi Vert’s 2023 album *Pink Tape*, known for its aggressive energy and experimental, genre-blending sound.
-
B.
Krushing Blows
Krushing Blows are powerful cinematic counter-attack moves in Mortal Kombat 11 that trigger under specific conditions to deal increased damage and enhance visual impact during fights.
-
C.
The Crush
"The Crush" is a 1993 psychological thriller film about a teenage girl's dangerous obsession with an older man.
-
D.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
E.
Crush a Lot
"Crush a Lot" is a track from Lil Durk's mixtape *Street Gossip*, showcasing his melodic drill style and introspective street storytelling.
- 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: Crush 'Em Triple: [Risk, leadSingle, Crush 'Em]
Generated description
"Crush 'Em" is a heavy metal song by Megadeth, best known as a stadium-style anthem that was featured on their 1999 album "Risk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crush 'Em Target entity description: "Crush 'Em" is a heavy metal song by Megadeth, best known as a stadium-style anthem that was featured on their 1999 album "Risk."
-
A.
Crush Em
"Crush Em" is a track from Lil Uzi Vert’s 2023 album *Pink Tape*, known for its aggressive energy and experimental, genre-blending sound.
-
B.
Krushing Blows
Krushing Blows are powerful cinematic counter-attack moves in Mortal Kombat 11 that trigger under specific conditions to deal increased damage and enhance visual impact during fights.
-
C.
The Crush
"The Crush" is a 1993 psychological thriller film about a teenage girl's dangerous obsession with an older man.
-
D.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
E.
Crush a Lot
"Crush a Lot" is a track from Lil Durk's mixtape *Street Gossip*, showcasing his melodic drill style and introspective street storytelling.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd11b048190869c0c8a0e3095d7 |
completed | April 29, 2026, 3:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7a674908190a3d08c2c7210028e |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba82b00648190887a3164ececc66d |
completed | May 19, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a0ba87ed5148190a96c0ea7e1cbb865 |
completed | May 19, 2026, 12:02 a.m. |
Created at: April 17, 2026, 3:33 p.m.