Triple
T5751816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel Films |
E126870
|
entity |
| Predicate | parentCompanyBusiness |
P42350
|
FINISHED |
| Object | toy manufacturing |
—
|
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: toy manufacturing | Statement: [Mattel Films, parentCompanyBusiness, toy manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentCompanyBusiness Context triple: [Mattel Films, parentCompanyBusiness, toy manufacturing]
-
A.
hasParentCompanyBusiness
chosen
Indicates that one company operates as a business owned or controlled by another company that serves as its parent company.
-
B.
hasParentCompany
Indicates that one company is owned or controlled by another company that serves as its parent organization.
-
C.
ultimateParentCompany
Indicates that one company is the highest-level controlling entity in a corporate ownership structure, with no parent company above it.
-
D.
parentCompanyOfLicensee
Indicates that one entity is the parent company of another entity that holds a license.
-
E.
formerParentCompany
Indicates that one entity previously served as the parent company of another but no longer holds that status.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.