Triple
T20760995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara |
E510974
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Licca-chan |
—
|
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: Licca-chan | Statement: [Takara, brand, Licca-chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Licca-chan Context triple: [Takara, brand, Licca-chan]
-
A.
Licca-chan
chosen
Licca-chan is a long-running and iconic Japanese fashion doll line, often compared to Barbie, popular among children and collectors.
-
B.
Pichanaki
Pichanaki is a prominent town in central Peru known for its agricultural activity, especially coffee production, within the Amazonian high jungle region.
-
C.
Licca-chan dolls
Licca-chan dolls are a long-running and beloved Japanese fashion doll line, often compared to Barbie, featuring a school-age girl and her friends in various trendy outfits and playsets.
-
D.
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.
-
E.
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.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c248701081908ae49fca933e05f6 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.