Triple
T7408409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Sides |
E170937
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Bleed Together |
E568629
|
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 Together | Statement: [A-Sides, includesSong, Bleed Together]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleed Together Context triple: [A-Sides, includesSong, Bleed Together]
-
A.
Bleed Together
chosen
"Bleed Together" is a song by the American rock band Soundgarden, known for its heavy, melodic sound and inclusion on their compilation album "A-Sides."
-
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.
Bleed Out
"Bleed Out" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic rock sound.
-
D.
Where the Line Bleeds
"Where the Line Bleeds" is a contemporary novel by Jesmyn Ward that follows twin brothers coming of age amid poverty, family struggle, and limited opportunity on the Mississippi Gulf Coast.
-
E.
Bleed the Freak
"Bleed the Freak" is a heavy, dark-toned grunge/metal song by Alice in Chains, known for its brooding atmosphere and powerful vocal harmonies.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111fcd948190adbe6280df53a916 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.