Triple
T36937169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel Interactive |
E913650
|
entity |
| Predicate | ownerOfLabel |
P20703
|
FINISHED |
| Object | The Learning Company |
—
|
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: The Learning Company | Statement: [Mattel Interactive, ownerOfLabel, The Learning Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOfLabel Context triple: [Mattel Interactive, ownerOfLabel, The Learning Company]
-
A.
ownedLabel
chosen
Indicates that a label is possessed or controlled by a particular owner or entity.
-
B.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
C.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
D.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
E.
associatedWithLabel
Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.