Triple
T28078555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel, Inc. v. MCA Records, Inc. |
E709613
|
entity |
| Predicate | involvesCopyright |
P1256
|
FINISHED |
| Object | Barbie-related intellectual property |
—
|
LITERAL 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-related intellectual property | Statement: [Mattel, Inc. v. MCA Records, Inc., involvesCopyright, Barbie-related intellectual property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesCopyright Context triple: [Mattel, Inc. v. MCA Records, Inc., involvesCopyright, Barbie-related intellectual property]
-
A.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
B.
involvesPublication
Indicates that an action, event, or process includes or is associated with a specific publication as a relevant component.
-
C.
involves
chosen
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
D.
involvesCreationOf
Indicates that one entity brings about, produces, or results in the creation of another entity.
-
E.
copyrightModel
Indicates that one entity serves as the copyright or licensing model that governs the use, distribution, or protection of another entity.
- 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_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 27, 2026, 8:50 p.m.