Triple
T13170030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Dog’s Journey |
E312951
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Robert Komatsu |
E59783
|
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: Robert Komatsu | Statement: [A Dog’s Journey, editedBy, Robert Komatsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Komatsu Context triple: [A Dog’s Journey, editedBy, Robert Komatsu]
-
A.
Robert Komatsu
chosen
Robert Komatsu is a film and television editor known for his work on projects such as the 2013 biographical drama "Jobs."
-
B.
Hiroshi Kikuchi
Hiroshi Kikuchi was a prominent Japanese author and editor, best known as the founder of the major publishing company Bungeishunjū and the creator of the Akutagawa and Naoki literary prizes.
-
C.
Gunichi Mikawa
Gunichi Mikawa was an admiral in the Imperial Japanese Navy during World War II, best known for leading Japanese cruiser forces in several major Pacific naval engagements.
-
D.
Kazuyuki Matsushita
Kazuyuki Matsushita is a Japanese designer best known for creating the iconic International Fountain at Seattle Center.
-
E.
Toshio Fukuda
Toshio Fukuda is a Japanese media executive best known for his leadership role at Nippon Television Network, one of Japan’s major commercial broadcasters.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2e03c481909909b8f10c7e8ffc |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf92c1881909d387dcf50d8d09f |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.