Triple
T19201744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The B-52's |
E470123
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Channel Z |
—
|
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: Channel Z | Statement: [The B-52's, notableWork, Channel Z]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channel Z Context triple: [The B-52's, notableWork, Channel Z]
-
A.
Channel Z
chosen
"Channel Z" is a politically charged, environmentally themed rock song by American new wave band The B-52s, released as a single from their 1989 album "Cosmic Thing."
-
B.
Channel X
Channel X is a British television production company best known for producing the acclaimed comedy series "Detectorists."
-
C.
Channel Tres
Channel Tres is an American musician and producer known for blending house, hip-hop, and R&B into a distinctive, laid-back dance sound.
-
D.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
-
E.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9991ba48190ab92805daec3877b |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 12:07 p.m.