Triple
T18421465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Body Count |
E442032
|
entity |
| Predicate | hasAlbum |
P1995
|
FINISHED |
| Object |
Bloodlust
Bloodlust is a studio album by American thrash metal band Body Count, known for its aggressive sound and politically charged lyrics.
|
E1323288
|
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: Bloodlust | Statement: [Body Count, hasAlbum, Bloodlust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloodlust Context triple: [Body Count, hasAlbum, Bloodlust]
-
A.
Frenzy
"Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
-
B.
Frenzy
Frenzy is a Hearthstone keyword that triggers a special effect the first time a minion survives damage.
-
C.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
D.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
-
E.
Frenesi
"Frenesi" is a popular 1940 jazz and big band standard closely associated with clarinetist and bandleader Artie Shaw.
- 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: Bloodlust Triple: [Body Count, hasAlbum, Bloodlust]
Generated description
Bloodlust is a studio album by American thrash metal band Body Count, known for its aggressive sound and politically charged lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bloodlust Target entity description: Bloodlust is a studio album by American thrash metal band Body Count, known for its aggressive sound and politically charged lyrics.
-
A.
Frenzy
"Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
-
B.
Frenzy
Frenzy is a Hearthstone keyword that triggers a special effect the first time a minion survives damage.
-
C.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
D.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
-
E.
Frenesi
"Frenesi" is a popular 1940 jazz and big band standard closely associated with clarinetist and bandleader Artie Shaw.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2be6bc8190b2812f77ff4cc960 |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0a7e788819080ab4b25f489726e |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1e4007c8190b84dbbf7e3afcc80 |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f25e93bc8190910ce6037dc1bcea |
completed | May 13, 2026, 3:39 a.m. |
Created at: April 10, 2026, 10:47 a.m.