Triple
T20135779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suka |
E491021
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Shuka |
—
|
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: Shuka | Statement: [Suka, hasAlternativeName, Shuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuka Context triple: [Suka, hasAlternativeName, Shuka]
-
A.
Shuka
chosen
Shuka is a Japanese animation studio known for producing the later seasons and related works of the urban fantasy anime series Durarara!!.
-
B.
Shapuri
Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
-
C.
Oschiri
Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Shusai
Shusai is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66766e46c81908721fd47066dc9f8 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.