Triple
T15768812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twister |
E382294
|
entity |
| Predicate | soundMix |
P14839
|
FINISHED |
| Object | DTS |
E215062
|
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: DTS | Statement: [Twister, soundMix, DTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTS Context triple: [Twister, soundMix, DTS]
-
A.
DTS
chosen
DTS is a multichannel digital surround sound audio format widely used in home theater systems, cinema, and high-definition media.
-
B.
DTS
DTS is the U.S. Department of Defense’s integrated global transportation network that moves military personnel, equipment, and supplies worldwide.
-
C.
DTS
DTS is a legacy Microsoft SQL Server toolset used to design, execute, and manage data extraction, transformation, and loading (ETL) workflows.
-
D.
DTS Digital Surround
DTS Digital Surround is a multichannel audio codec widely used in cinema, home theater, and digital media to deliver high-quality surround sound.
-
E.
DTS Runtime
DTS Runtime is the execution engine within SQL Server’s Data Transformation Services that runs and manages data transformation and ETL packages.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051951bac8190a7d45f3612c6de72 |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877a67008190b05f879d05876fd3 |
completed | May 9, 2026, 7:14 p.m. |
Created at: April 10, 2026, 4:47 a.m.