Triple
T22912915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facelift |
E568650
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Bleed the Freak |
—
|
NE NERFINISHED |
How this triple was built (2 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 the Freak | Statement: [Facelift, notableSingle, Bleed the Freak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleed the Freak Context triple: [Facelift, notableSingle, Bleed the Freak]
-
A.
Bleed the Freak
chosen
"Bleed the Freak" is a heavy, dark-toned grunge/metal song by Alice in Chains, known for its brooding atmosphere and powerful vocal harmonies.
-
B.
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.
-
C.
Bloodless Freak
"Bloodless Freak" is a musical track from Thomas Newman's acclaimed, minimalist score for the 1999 film *American Beauty*.
-
D.
I’m a Freak
"I'm a Freak" is a dance-pop and reggaeton-influenced single by Enrique Iglesias featuring Pitbull, known for its explicit lyrics and club-oriented production.
-
E.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18075a0048190bd150e2badeeb7c2 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.