Triple
T3503382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Trux |
E74018
|
entity |
| Predicate | hasStudioAlbum |
P48584
|
FINISHED |
| Object | Accelerator |
E363871
|
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: Accelerator | Statement: [Royal Trux, hasStudioAlbum, Accelerator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Accelerator Context triple: [Royal Trux, hasStudioAlbum, Accelerator]
-
A.
Accelerator
chosen
"Accelerator" is a 1998 noise rock album by American band Royal Trux, known for its lo-fi production and experimental, distorted sound.
-
B.
Accelerate
Accelerate is a song by the Christian rock band Liberation, known for its energetic style and uplifting, faith-centered lyrics.
-
C.
Storm Force Accelatron
Storm Force Accelatron is a spinning, storm-themed thrill ride at Universal’s Islands of Adventure inspired by the Marvel X-Men character Storm.
-
D.
Open Accelerators
Open Accelerators is a programming standard designed to simplify parallel computing on heterogeneous systems such as CPUs and GPUs through compiler directives.
-
E.
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.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6aea8c81908dbe4748dd8a9d9c |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.