Triple
T22821988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countdown to Extinction |
E565254
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Sweating Bullets
"Sweating Bullets" is a popular heavy metal song by Megadeth, known for its schizophrenic narrative style and prominent guitar riffs.
|
E1555695
|
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: Sweating Bullets | Statement: [Countdown to Extinction, hasTrack, Sweating Bullets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweating Bullets Context triple: [Countdown to Extinction, hasTrack, Sweating Bullets]
-
A.
Sweat
Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
-
B.
Sweat
"Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
-
C.
Sweat
"Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
-
D.
Sweat
Sweat is a musical act known for its association with artist Eddie Scoresazy.
-
E.
Sweat
Sweat is a surname of English origin borne by various individuals, including the American politician and art patron L. D. M. Sweat.
- 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: Sweating Bullets Triple: [Countdown to Extinction, hasTrack, Sweating Bullets]
Generated description
"Sweating Bullets" is a popular heavy metal song by Megadeth, known for its schizophrenic narrative style and prominent guitar riffs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sweating Bullets Target entity description: "Sweating Bullets" is a popular heavy metal song by Megadeth, known for its schizophrenic narrative style and prominent guitar riffs.
-
A.
Sweat
Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
-
B.
Sweat
"Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
-
C.
Sweat
"Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
-
D.
Sweat
Sweat is a musical act known for its association with artist Eddie Scoresazy.
-
E.
Sweat
Sweat is a surname of English origin borne by various individuals, including the American politician and art patron L. D. M. Sweat.
- 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_6a0b9ea989848190886e352179f342fc |
completed | May 18, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_6a0ba03629048190ab84014e3f1b0077 |
completed | May 18, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba0c54d808190b7f6324465c56aa0 |
completed | May 18, 2026, 11:29 p.m. |
Created at: April 17, 2026, 3:33 p.m.