Triple
T13776495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Mix |
E331018
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Jesy Nelson |
E1059751
|
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: Jesy Nelson | Statement: [Little Mix, associatedAct, Jesy Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesy Nelson Context triple: [Little Mix, associatedAct, Jesy Nelson]
-
A.
Jesy Nelson
chosen
Jesy Nelson is a British singer and songwriter best known as a founding member of the girl group Little Mix before pursuing a solo music career.
-
B.
Syleena Johnson
Syleena Johnson is an American R&B and soul singer-songwriter known for her powerful vocals and collaborations with artists like Kanye West.
-
C.
KaDee Strickland
KaDee Strickland is an American actress best known for her television work, particularly in medical and drama series.
-
D.
Jeannie Mai
Jeannie Mai is an American television host, stylist, and media personality best known for her work on makeover shows and as a co-host on the daytime talk show "The Real."
-
E.
Kacey Rohl
Kacey Rohl is a Canadian actress known for her roles in television series such as Hannibal, The Magicians, and Arrow, as well as various film and TV projects.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d4af2081909628c1691e073f6f |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:10 p.m.