Triple
T16884723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Algren |
E421508
|
entity |
| Predicate | rescuedBy |
P7320
|
FINISHED |
| Object | Katsumoto |
—
|
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: Katsumoto | Statement: [Nathan Algren, rescuedBy, Katsumoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katsumoto Context triple: [Nathan Algren, rescuedBy, Katsumoto]
-
A.
Katsumoto
chosen
Katsumoto is a principled samurai leader from the film "The Last Samurai," known for his honor, wisdom, and resistance to the modernization of Japan.
-
B.
Hiranuma
Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
C.
Takamori
Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
-
D.
Kazuno
Kazuno is a city in northern Japan known for its hot springs, traditional festivals, and mountainous rural scenery.
-
E.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc00cf8819088a08ddb00cd3c96 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:29 a.m.