Triple
T22763768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSR, Inc. |
E563063
|
entity |
| Predicate | ultimateOwner |
P347
|
FINISHED |
| Object | Hasbro |
—
|
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: Hasbro | Statement: [TSR, Inc., ultimateOwner, Hasbro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasbro Context triple: [TSR, Inc., ultimateOwner, Hasbro]
-
A.
Hasbro
chosen
Hasbro is a major American toy and entertainment company known for creating and owning popular brands such as Transformers, My Little Pony, and Monopoly.
-
B.
Mattel
Mattel is a major American toy manufacturing company best known for creating iconic brands such as Barbie, Hot Wheels, and Fisher-Price.
-
C.
Hasbro Interactive
Hasbro Interactive was a video game publishing division of Hasbro that focused on adapting the company’s popular toy and entertainment brands into interactive titles.
-
D.
Kenner Products
Kenner Products was an American toy company best known for producing popular licensed toy lines such as the original Star Wars action figures.
-
E.
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.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7dd9348190ba7c74362ad30b1e |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.