Triple
T14294396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alesha Dixon |
E354399
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Mis-Teeq |
E1091265
|
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: Mis-Teeq | Statement: [Alesha Dixon, associatedAct, Mis-Teeq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mis-Teeq Context triple: [Alesha Dixon, associatedAct, Mis-Teeq]
-
A.
Mis-Teeq
chosen
Mis-Teeq was a British girl group known for their blend of R&B, UK garage, and pop music, achieving mainstream success in the early 2000s with hits like "Scandalous."
-
B.
Bananarama
Bananarama is a British female pop music group best known for their 1980s hits like "Cruel Summer" and "Venus."
-
C.
Thompson Twins
Thompson Twins were a British pop band prominent in the 1980s, known for their synth-driven new wave hits like "Hold Me Now" and "Doctor! Doctor!".
-
D.
Wet Wet Wet
Wet Wet Wet is a Scottish pop band best known internationally for their hit cover of “Love Is All Around” and a string of successful chart singles in the late 1980s and 1990s.
-
E.
Morcheeba
Morcheeba is a British band known for its smooth blend of trip hop, downtempo, and soul, characterized by laid-back grooves and atmospheric production.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c34d038819097b441c943ea5063 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:11 a.m.