Triple
T13570323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB. Starman |
E324139
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | DB. Kirara |
E324140
|
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: DB. Kirara | Statement: [DB. Starman, associatedWith, DB. Kirara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DB. Kirara Context triple: [DB. Starman, associatedWith, DB. Kirara]
-
A.
DB. Kirara
chosen
DB. Kirara is a cheerleader-style female mascot character for the Yokohama DeNA BayStars professional baseball team in Japan.
-
B.
Kirakira
Kirakira is a small coastal town in the Solomon Islands that serves as the administrative and commercial center of Makira-Ulawa Province.
-
C.
Kari
Kari is a Finnish given name commonly used for both males and females.
-
D.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
E.
Rine-chan
Rine-chan is a female cheerleader-style mascot character for the Japanese professional baseball team Chiba Lotte Marines.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb61a40819099a62f65a68dff7b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.