Triple
T18588877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara Tomy |
E454306
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Diaclone toys |
—
|
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: Diaclone toys | Statement: [Takara Tomy, product, Diaclone toys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diaclone toys Context triple: [Takara Tomy, product, Diaclone toys]
-
A.
Diaclone toy line
chosen
The Diaclone toy line was a Japanese series of transforming robot and vehicle toys by Takara that served as a major precursor and source of designs for the Transformers franchise.
-
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.
Transformers: Generation 1 toys
Transformers: Generation 1 toys is the original 1980s toyline that launched the Transformers franchise, featuring the first iconic transforming robot figures.
-
D.
K.A.T.O.
K.A.T.O. is a musical alias of producer Rheji Burrell, known for his influential work in house and electronic music.
-
E.
Zords
Zords are giant mechanized battle machines piloted by the Power Rangers that can combine into more powerful forms to fight large-scale threats.
- 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.