Triple
T17201679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splice |
E417488
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Tetsuo Nagata |
E1032881
|
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: Tetsuo Nagata | Statement: [Splice, cinematographyBy, Tetsuo Nagata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tetsuo Nagata Context triple: [Splice, cinematographyBy, Tetsuo Nagata]
-
A.
Tetsuo Nagata
chosen
Tetsuo Nagata is a French cinematographer known for his visually distinctive work on numerous feature films, commercials, and music videos.
-
B.
Minoru Nagata
Minoru Nagata was a renowned Japanese acoustical engineer best known as the founder of Nagata Acoustics, a leading firm in concert hall and auditorium design.
-
C.
Tomiji Koyanagi
Tomiji Koyanagi was an Imperial Japanese Navy admiral who held senior command roles in the Pacific during World War II.
-
D.
Kiyoshi Nobori
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
-
E.
Keiji Kiriya
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.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674bfabc8190bff7223e039089cc |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.