Triple
T18588864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara Tomy |
E454306
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Tomy |
—
|
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: Tomy | Statement: [Takara Tomy, predecessor, Tomy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomy Context triple: [Takara Tomy, predecessor, Tomy]
-
A.
Takara Tomy
chosen
Takara Tomy is a Japanese toy and entertainment company best known internationally for creating and producing the Transformers franchise and other popular toy lines.
-
B.
Tec Toy
Tec Toy is a Brazilian electronics and video game company best known for localizing, manufacturing, and popularizing Sega consoles and games in Brazil.
-
C.
Toymaker
The Toymaker is the primary antagonist in the film "Spy Kids 3-D: Game Over," a villainous game designer who traps players inside his virtual reality world.
-
D.
Hape
Hape is a surname that may refer to various individuals, including Dr. Samuel Hape.
-
E.
MacMillan Toy Company
MacMillan Toy Company is the fictional New York toy manufacturer featured in the film "Big," where the adult version of Josh Baskin works and helps design popular toys.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.