Triple
T5751961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken |
E126873
|
entity |
| Predicate | franchise |
P1500
|
FINISHED |
| Object | Barbie franchise |
E25542
|
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: Barbie franchise | Statement: [Ken, franchise, Barbie franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbie franchise Context triple: [Ken, franchise, Barbie franchise]
-
A.
Barbie
chosen
Barbie is a 2023 fantasy-comedy film directed by Greta Gerwig that reimagines the iconic Mattel doll in a satirical, self-aware story exploring gender roles, identity, and consumer culture.
-
B.
Barbieland
Barbieland is a vibrant, hyper-stylized fantasy world where various Barbies and Kens live in an idealized matriarchal society.
-
C.
Harajuku Barbie
Harajuku Barbie is a colorful, doll-like alter ego of rapper Nicki Minaj that emphasizes her playful, fashion-forward, and hyper-feminine persona.
-
D.
Mickey Mouse franchise
The Mickey Mouse franchise is a long-running and iconic Disney media and merchandise universe centered on the cartoon character Mickey Mouse and his associated characters, stories, and brand.
-
E.
Mattel Films
Mattel Films is the film production division of the toy company Mattel, responsible for developing and producing movies based on its toy and game brands.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3a50b88190a943b2d91d3c5b8e |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.