Triple
T22023635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken (Barbie) |
E543901
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Totally Hair Ken |
—
|
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: Totally Hair Ken | Statement: [Ken (Barbie), hasVariant, Totally Hair Ken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Totally Hair Ken Context triple: [Ken (Barbie), hasVariant, Totally Hair Ken]
-
A.
Kens
chosen
Kens are the male doll counterparts to Barbies in the fictional, pastel-colored world of Barbieland.
-
B.
I’m Just Ken
"I'm Just Ken" is a comedic, emotionally charged power ballad performed by Ryan Gosling in the 2023 film *Barbie*, exploring Ken's insecurities and desire for recognition.
-
C.
The Kenny
The Kenny is the affectionate nickname for Kenilworth Road, the historic home stadium of Luton Town Football Club in England.
-
D.
Mustache
Mustache is a logic-less templating language used to generate text by interpolating data into templates across many programming languages.
-
E.
Granola Head
"Granola Head" is a punk rock song by the American band The Queers, known for their irreverent, pop-punk style.
- 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.