Triple
T23111348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackout |
E576327
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object | All Clear |
—
|
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: All Clear | Statement: [Blackout, hasSequel, All Clear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Clear Context triple: [Blackout, hasSequel, All Clear]
-
A.
All Clear
chosen
All Clear is a science fiction novel by Connie Willis that continues the time-traveling historians' adventures during the London Blitz, concluding the story begun in Blackout.
-
B.
Crystal Clear
"Crystal Clear" is a song by the British rock band Young Guns, known for its melodic hooks and anthemic alternative rock sound.
-
C.
In the Clear
"In the Clear" is a song by American rock band Foo Fighters, featured on their 2014 album and TV project *Sonic Highways*.
-
D.
Loud and Clear
"Loud and Clear" is a nonfiction aviation book by Robert J. Serling that explores dramatic real-life incidents and behind-the-scenes stories from the world of commercial flight.
-
E.
Loud and Clear
"Loud and Clear" is a song by the Irish rock band The Cranberries from their 1999 album *Bury the Hatchet*.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0f4d188190a9395074c630ab0d |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.