Triple
T22857831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbie franchise |
E566833
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Mattel |
—
|
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 | Statement: [Barbie franchise, ownedBy, Mattel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattel Context triple: [Barbie franchise, ownedBy, Mattel]
-
A.
Mattel
chosen
Mattel is a major American toy manufacturing company best known for creating iconic brands such as Barbie, Hot Wheels, and Fisher-Price.
-
B.
Mattel UK Limited
Mattel UK Limited is the United Kingdom-based subsidiary of global toy manufacturer Mattel, responsible for marketing, distributing, and managing the company’s brands in the UK market.
-
C.
Mattel Europa B.V.
Mattel Europa B.V. is the European subsidiary of global toy manufacturer Mattel, responsible for managing and distributing the company’s brands across European markets.
-
D.
Hasbro
Hasbro is a major American toy and entertainment company known for creating and owning popular brands such as Transformers, My Little Pony, and Monopoly.
-
E.
Mattel France SA
Mattel France SA is the French subsidiary of the global toy and entertainment company Mattel, responsible for marketing and distributing its brands in France.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebe3f9c8190a864f4e84dc7795d |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.