Triple
T2289695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberation |
E51472
|
entity |
| Predicate | singleFrom |
P28436
|
FINISHED |
| Object | Accelerate |
E252749
|
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: Accelerate | Statement: [Liberation, singleFrom, Accelerate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Accelerate Context triple: [Liberation, singleFrom, Accelerate]
-
A.
Accelerate
chosen
Accelerate is a song by the Christian rock band Liberation, known for its energetic style and uplifting, faith-centered lyrics.
-
B.
Speedy
Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
-
C.
Hurry
"Hurry" is a song by Teyana Taylor from her 2018 R&B album *K.T.S.E.*.
-
D.
Full Throttle
Full Throttle is a 1995 LucasArts graphic adventure game set in a biker-themed, dystopian future, known for its cinematic storytelling, rock soundtrack, and dark humor.
-
E.
Full Throttle
Full Throttle is a horror and dark fantasy short story collection by Joe Hill that showcases his signature blend of suspenseful, character-driven tales.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae894f9ff881909d1b3a7956d82576 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:48 p.m.