Triple
T5594982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trackmasters |
E146971
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Tone |
E494119
|
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: Tone | Statement: [Trackmasters, member, Tone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tone Context triple: [Trackmasters, member, Tone]
-
A.
Tone
chosen
Tone is a music producer best known for his work on Foxy Brown’s debut album "Ill Na Na."
-
B.
Real Tone
Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
-
C.
Wolf Tone
Wolf Tone is a British independent record label known for signing innovative alternative and electronic artists such as Glass Animals.
-
D.
Valence
Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
-
E.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020be029881908c5586838382c8f2 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286eaa2881909cbb0bb20f4987fe |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.