Triple
T19536152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bandito Tour |
E488770
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | My Blood |
—
|
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: My Blood | Statement: [The Bandito Tour, featuresSong, My Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Blood Context triple: [The Bandito Tour, featuresSong, My Blood]
-
A.
My Blood
chosen
"My Blood" is a song by Twenty One Pilots from their album *Trench*, blending alternative rock and pop elements with introspective lyrics about loyalty and emotional support.
-
B.
In My Blood
"In My Blood" is a 2018 pop-rock single by Canadian singer Shawn Mendes that candidly explores anxiety and emotional vulnerability.
-
C.
In My Blood
"In My Blood" is a 2016 electropop single by Australian pop duo The Veronicas, known for its pulsating synth-driven production and emotionally charged lyrics about obsessive love.
-
D.
In My Blood
"In My Blood" is a hard rock song by American band Black Stone Cherry, known for its anthemic sound and emotionally charged lyrics.
-
E.
Blood in My Eyes
"Blood in My Eyes" is a traditional blues song famously covered by Bob Dylan on his 1993 album *World Gone Wrong*.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.