Triple
T18588897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara Tomy |
E454306
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Licca-chan
Licca-chan is a long-running and iconic Japanese fashion doll line, often compared to Barbie, popular among children and collectors.
|
E1332572
|
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: Licca-chan | Statement: [Takara Tomy, hasBrand, Licca-chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Licca-chan Context triple: [Takara Tomy, hasBrand, Licca-chan]
-
A.
Ouka Leele
Ouka Leele was a Spanish photographer and visual artist known for her vividly hand-colored photographs and her influential role in the countercultural Movida Madrileña movement of the 1980s.
-
B.
Demae Iccho
Demae Iccho is a popular instant ramen noodle brand produced by Nissin Foods, known for its affordable, quick-to-prepare bowls and packets in a variety of flavors.
-
C.
Chiaki
Chiaki is a Japanese given name used for people of any gender, often associated with characters in anime, manga, and real-life public figures.
-
D.
Lai Lai
Lai Lai is a character featured in the Filipino superhero television series "Woman of Steel."
-
E.
Henoko
Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
- 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: Licca-chan Triple: [Takara Tomy, hasBrand, Licca-chan]
Generated description
Licca-chan is a long-running and iconic Japanese fashion doll line, often compared to Barbie, popular among children and collectors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Licca-chan Target entity description: Licca-chan is a long-running and iconic Japanese fashion doll line, often compared to Barbie, popular among children and collectors.
-
A.
Ouka Leele
Ouka Leele was a Spanish photographer and visual artist known for her vividly hand-colored photographs and her influential role in the countercultural Movida Madrileña movement of the 1980s.
-
B.
Demae Iccho
Demae Iccho is a popular instant ramen noodle brand produced by Nissin Foods, known for its affordable, quick-to-prepare bowls and packets in a variety of flavors.
-
C.
Chiaki
Chiaki is a Japanese given name used for people of any gender, often associated with characters in anime, manga, and real-life public figures.
-
D.
Lai Lai
Lai Lai is a character featured in the Filipino superhero television series "Woman of Steel."
-
E.
Henoko
Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
- F. None of above. chosen
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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89678bc8190b8bc79694d75fd4b |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04fed4e1c4819088f99be7ee8ecd08 |
completed | May 13, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04ff9d97108190a34c4a8e347df711 |
completed | May 13, 2026, 10:47 p.m. |
Created at: April 10, 2026, 11:44 a.m.