Triple
T12365970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auto-Tune |
E294869
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | Auto-Tune Artist |
E294869
|
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: Auto-Tune Artist | Statement: [Auto-Tune, hasVersion, Auto-Tune Artist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auto-Tune Artist Context triple: [Auto-Tune, hasVersion, Auto-Tune Artist]
-
A.
Auto-Tune
chosen
Auto-Tune is an audio processing technology that automatically corrects or stylizes vocal pitch, widely used in music production for both subtle tuning and distinctive robotic effects.
-
B.
AudioSculpt
AudioSculpt is a sound analysis and processing software developed by IRCAM, widely used for detailed spectral editing and transformation of audio.
-
C.
ARK Music Factory
ARK Music Factory is a Los Angeles-based independent record label and production company best known for creating viral teen pop songs such as Rebecca Black’s “Friday.”
-
D.
Tune
Tune is a historic Viking ship burial site in Norway, notable for yielding one of the earliest known Viking ships, the Tune ship.
-
E.
Tune
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.