Triple
T15951057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugababes |
E386818
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Mutya Buena |
E1186770
|
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: Mutya Buena | Statement: [Sugababes, member, Mutya Buena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutya Buena Context triple: [Sugababes, member, Mutya Buena]
-
A.
Mutya Buena
chosen
Mutya Buena is a British singer and songwriter best known as a founding member and original vocalist of the girl group Sugababes.
-
B.
Nicole Scherzinger
Nicole Scherzinger is an American singer, songwriter, dancer, and television personality best known as the lead vocalist of the pop group The Pussycat Dolls and for her work on various music and talent shows.
-
C.
Candice Swanepoel
Candice Swanepoel is a South African supermodel best known for her high-profile work in fashion campaigns and runway shows, particularly in lingerie and swimwear.
-
D.
Mutya Orquia
Mutya Orquia is a Filipino child actress best known for her roles in popular Philippine television dramas and series.
-
E.
Amber Valletta
Amber Valletta is an American fashion model and actress known for her work in high-profile fashion campaigns and roles in films such as "Hitch" and "What Lies Beneath."
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d59f5081909f6a81d578c4e2e8 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c1b49c819087e5a088d41963ec |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.