Triple
T3048880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saga |
E83519
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Saga ware |
E83519
|
NE FINISHED |
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: Saga ware | Statement: [Saga, knownFor, Saga ware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saga ware Context triple: [Saga, knownFor, Saga ware]
-
A.
Saga
Saga is a critically acclaimed science fiction/fantasy comic series by Brian K. Vaughan and Fiona Staples, renowned for its genre-blending storytelling, mature themes, and distinctive artwork.
-
B.
Saga
chosen
Saga is a small coastal city in northern Kyushu, Japan, known as the capital of Saga Prefecture and for its historic sites and traditional ceramics.
-
C.
Starbrand
Starbrand is a powerful cosmic superhero in Marvel Comics who wields an energy-based mark granting immense abilities and has been associated with teams like the Avengers.
-
D.
Oreshura
Oreshura is a Japanese romantic comedy light novel and anime series that follows a high school boy roped into a fake relationship with a popular girl to fend off unwanted romantic attention.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9baed3848190a8351d9c8c4edc79 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eef7d1e081908535b7d972a147eb |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.