Triple
T13041068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoichiro Toyoda |
E327191
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Toyoda
Toyoda is a prominent Japanese family name most famously associated with the founders and leaders of the Toyota automotive empire.
|
E404400
|
NE FINISHED |
How this triple was built (4 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: Toyoda | Statement: [Shoichiro Toyoda, familyName, Toyoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyoda Context triple: [Shoichiro Toyoda, familyName, Toyoda]
-
A.
Toyoda Gosei Co., Ltd.
Toyoda Gosei Co., Ltd. is a Japanese automotive parts manufacturer known for producing rubber and plastic components, safety systems, and LEDs, and is closely affiliated with the Toyota Group.
-
B.
Koji Toyoda
Koji Toyoda is a Japanese violinist and educator known for his distinguished performance career and contributions to classical music pedagogy.
-
C.
Toyota, Aichi
Toyota, Aichi is a Japanese city best known as the headquarters and company town of the Toyota Motor Corporation.
-
D.
Toyone
Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
-
E.
Totota
Totota is a town located in Bong County in central Liberia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Toyoda Triple: [Shoichiro Toyoda, familyName, Toyoda]
Generated description
Toyoda is a prominent Japanese family name most famously associated with the founders and leaders of the Toyota automotive empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyoda Target entity description: Toyoda is a prominent Japanese family name most famously associated with the founders and leaders of the Toyota automotive empire.
-
A.
Toyoda Gosei Co., Ltd.
chosen
Toyoda Gosei Co., Ltd. is a Japanese automotive parts manufacturer known for producing rubber and plastic components, safety systems, and LEDs, and is closely affiliated with the Toyota Group.
-
B.
Koji Toyoda
Koji Toyoda is a Japanese violinist and educator known for his distinguished performance career and contributions to classical music pedagogy.
-
C.
Toyota, Aichi
Toyota, Aichi is a Japanese city best known as the headquarters and company town of the Toyota Motor Corporation.
-
D.
Toyone
Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
-
E.
Totota
Totota is a town located in Bong County in central Liberia.
- F. None of above.
Provenance (5 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd5139c8190aaec6487f074f251 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6ce6278e081908864fba1db23ada0 |
completed | May 3, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cf547b188190b24c51e06a3b4d3c |
completed | May 3, 2026, 4:30 a.m. |
Created at: April 9, 2026, 8:56 p.m.