Triple
T22124043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soulfly |
E546745
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Bleed
"Bleed" is a popular heavy metal track by Soulfly known for its aggressive sound and fusion of groove, nu metal, and tribal influences.
|
E1520702
|
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: Bleed | Statement: [Soulfly, notableSong, Bleed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleed Context triple: [Soulfly, notableSong, Bleed]
-
A.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
-
B.
Bleed
Bleed is a transdimensional space in DC Comics that exists between universes of the Multiverse, enabling interdimensional travel and often serving as a hazardous cosmic boundary.
-
C.
Bleed for This
Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
-
D.
Bleed for Me
"Bleed for Me" is a song by the Swedish heavy metal band Saliva, featured on their 2004 album "Survival of the Sickest."
-
E.
Blood to Bleed
"Blood to Bleed" is a song by the American punk rock band Rise Against from their album *Siren Song of the Counter Culture*.
- 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: Bleed Triple: [Soulfly, notableSong, Bleed]
Generated description
"Bleed" is a popular heavy metal track by Soulfly known for its aggressive sound and fusion of groove, nu metal, and tribal influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bleed Target entity description: "Bleed" is a popular heavy metal track by Soulfly known for its aggressive sound and fusion of groove, nu metal, and tribal influences.
-
A.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
-
B.
Bleed
Bleed is a transdimensional space in DC Comics that exists between universes of the Multiverse, enabling interdimensional travel and often serving as a hazardous cosmic boundary.
-
C.
Bleed for This
Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
-
D.
Bleed for Me
"Bleed for Me" is a song by the Swedish heavy metal band Saliva, featured on their 2004 album "Survival of the Sickest."
-
E.
Blood to Bleed
"Blood to Bleed" is a song by the American punk rock band Rise Against from their album *Siren Song of the Counter Culture*.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298016e081909d00015ca516d9fd |
completed | April 28, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f21bf1881909efdda72f353b58b |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a932edc2c81909c014a21ac087cbd |
completed | May 18, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a93a6adbc8190b7075d7ce81fb943 |
completed | May 18, 2026, 4:20 a.m. |
Created at: April 16, 2026, 8:31 p.m.