Triple
T28078554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel, Inc. v. MCA Records, Inc. |
E709613
|
entity |
| Predicate | involvesTrademark |
P54500
|
FINISHED |
| Object | Barbie |
—
|
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: Barbie | Statement: [Mattel, Inc. v. MCA Records, Inc., involvesTrademark, Barbie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesTrademark Context triple: [Mattel, Inc. v. MCA Records, Inc., involvesTrademark, Barbie]
-
A.
sharesTrademark
Indicates that two or more entities use or are associated with the same trademark.
-
B.
trademark
Indicates that one entity legally owns and uses a distinctive sign, name, or symbol to identify and distinguish its goods or services from those of others.
-
C.
regulatesTrademark
Indicates that one entity has authority to control, oversee, or set rules governing the use or management of another entity’s trademark.
-
D.
trademarkAction
chosen
Indicates an action or legal event taken regarding a trademark, such as filing, registering, transferring, enforcing, or challenging trademark rights.
-
E.
includesTrademarkClause
Indicates that an agreement or document contains a specific clause governing the use, ownership, or protection of trademarks.
- F. None of above.
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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 27, 2026, 8:50 p.m.