Triple
T22023449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken (Simu Liu) |
E543897
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Mattel Ken doll |
—
|
NE NERFINISHED |
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: Mattel Ken doll | Statement: [Ken (Simu Liu), inspiredBy, Mattel Ken doll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattel Ken doll Context triple: [Ken (Simu Liu), inspiredBy, Mattel Ken doll]
-
A.
Dinah Doll
Dinah Doll is a character from the children's franchise "Noddy," known as one of Noddy's close friends in Toyland.
-
B.
Ken (in Barbie)
chosen
Ken (in Barbie) is a charismatic, competitive version of Barbie’s male counterpart as portrayed by Simu Liu in the 2023 live-action film.
-
C.
Barbies
"Barbies" is a song by Pink from her album *Beautiful Trauma*, reflecting on lost innocence and the complexities of growing up.
-
D.
Good Guy doll
The Good Guy doll is the seemingly innocent children's toy that serves as the iconic vessel for the murderous killer Chucky in the Child's Play horror franchise.
-
E.
Malibu Stacy dolls
Malibu Stacy dolls are a fictional line of Barbie-like fashion dolls in The Simpsons universe, often used to satirize consumer culture and gender stereotypes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.