Triple
T20869507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | x (album) |
E513852
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Bloodstream |
—
|
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: Bloodstream | Statement: [x (album), notableTrack, Bloodstream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloodstream Context triple: [x (album), notableTrack, Bloodstream]
-
A.
Bloodstream
"Bloodstream" is a medical thriller novel by Tess Gerritsen that blends forensic suspense with small-town mystery and biological danger.
-
B.
Bloodstream
chosen
"Bloodstream" is a song best known as a moody, emotionally charged track by Ed Sheeran that blends intimate lyrics with atmospheric production.
-
C.
Bloodflow
"Bloodflow" is a song by the experimental pop band Dongs of Sevotion.
-
D.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
-
E.
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.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.