Triple
T5635248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hachiko Statue |
E147930
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Hachiko |
E146890
|
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: Hachiko | Statement: [Hachiko Statue, associatedWith, Hachiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hachiko Context triple: [Hachiko Statue, associatedWith, Hachiko]
-
A.
Hachiko
chosen
Hachiko was a famously loyal Akita dog in Japan, remembered for waiting daily at Shibuya Station for his deceased owner and becoming a national symbol of devotion.
-
B.
Hachikō Monogatari
Hachikō Monogatari is a 1987 Japanese film that dramatizes the true story of the famously loyal Akita dog Hachikō and his lifelong devotion to his owner.
-
C.
Laika
Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
-
D.
Laika
Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
-
E.
Fido
Fido is a lesser-known companion character associated with the American folk hero Paul Bunyan in tall tales of the lumberjack’s adventures.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226286208190b6ccf036cc09fe82 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a14696fc819084b668a105118ac2 |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:41 p.m.