Triple
T16677409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood Stained Love Story |
E405247
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bleed for Me |
E1229678
|
NE FINISHED |
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 for Me | Statement: [Blood Stained Love Story, hasPart, Bleed for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleed for Me Context triple: [Blood Stained Love Story, hasPart, Bleed for Me]
-
A.
Bleed for Me
chosen
"Bleed for Me" is a song by the Swedish heavy metal band Saliva, featured on their 2004 album "Survival of the Sickest."
-
B.
Bleeding Me
"Bleeding Me" is a dark, introspective heavy metal song by Metallica from their 1996 album *Load*, known for its lengthy, evolving structure and emotionally charged lyrics.
-
C.
Bleed Like Me
Bleed Like Me is the fourth studio album by American alternative rock band Garbage, known for its heavier guitar-driven sound and confessional lyrics.
-
D.
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.
-
E.
I Bleed
"I Bleed" is a song by the American alternative rock band Pixies from their influential 1989 album *Doolittle*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d32e7b48190b7dd4660bed4789d |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.