Triple
T14552657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Here to Now to You |
E341455
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Ones and Zeros |
E1093000
|
NE FINISHED |
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: Ones and Zeros | Statement: [From Here to Now to You, hasTrack, Ones and Zeros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ones and Zeros Context triple: [From Here to Now to You, hasTrack, Ones and Zeros]
-
A.
Ones and Zeros
chosen
Ones and Zeros is a studio album by the British alternative rock band Young Guns, known for its melodic hooks and polished, anthemic sound.
-
B.
Between the Zero and the One
"Between the Zero and the One" is a song by the American rock band Dawes from their album "Good Luck With Whatever."
-
C.
Code to Zero
Code to Zero is a Cold War-era thriller novel by Ken Follett that follows an amnesiac rocket scientist uncovering a conspiracy tied to the early days of the space race.
-
D.
Two Bits
Two Bits is an animated character voiced by comedian and actor Charles Fleischer.
-
E.
De Cifris
De Cifris is a 15th-century treatise by Leon Battista Alberti that lays foundational principles of cryptography, including the introduction of polyalphabetic substitution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.