Triple
T18854363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reginald Noble |
E461132
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blackout! |
—
|
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: Blackout! | Statement: [Reginald Noble, notableWork, Blackout!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackout! Context triple: [Reginald Noble, notableWork, Blackout!]
-
A.
Blackout!
chosen
Blackout! is a 2000 hip-hop album by Method Man and Redman, known for its energetic chemistry, punchline-heavy lyrics, and classic East Coast production.
-
B.
Blackout
"Blackout" is a critically acclaimed 2007 pop and dance album by Britney Spears, often praised for its innovative production and influence on modern pop music.
-
C.
Blackout
Blackout is a science fiction novel by Connie Willis that follows time-traveling historians from the future who become stranded in World War II–era England.
-
D.
Blackout
"Blackout" is a politically charged hip-hop track by Boston rapper Akrobatik, known for its sharp lyricism and socially conscious themes.
-
E.
Blackout
"Blackout" is a film featuring Scottish actress Sophie Kennedy Clark in a prominent role.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05b4d8881909af0238f451b0e31 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.