Triple
T5751127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Vrataski |
E126853
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Keiji Kiriya |
E848840
|
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: Keiji Kiriya | Statement: [Rita Vrataski, ally, Keiji Kiriya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keiji Kiriya Context triple: [Rita Vrataski, ally, Keiji Kiriya]
-
A.
Keiji Kiriya
chosen
Keiji Kiriya is the Japanese soldier protagonist of the military science fiction novel "All You Need Is Kill," who becomes trapped in a time loop while fighting an alien invasion.
-
B.
Keiji Shibazaki
Keiji Shibazaki was an Imperial Japanese Navy rear admiral who led the island’s defenses and was killed during the World War II Battle of Tarawa.
-
C.
Koichi Hayashida
Koichi Hayashida is a Japanese video game designer best known for his prominent work on Nintendo’s Super Mario series, particularly the 3D platformer entries.
-
D.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
-
E.
Hideo Saito
Hideo Saito was a prominent Japanese cellist and conductor renowned as a pioneering music educator who trained many leading conductors, including Seiji Ozawa.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288a0ea8819091ac6f965471ceee |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d534fbc3fc8190b64611ef1de92865 |
completed | April 7, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:48 p.m.