Triple
T20269088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makoto Ozone |
E499045
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Makoto Ozone |
—
|
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: Makoto Ozone | Statement: [Makoto Ozone, name, Makoto Ozone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makoto Ozone Context triple: [Makoto Ozone, name, Makoto Ozone]
-
A.
Makoto Ozone
chosen
Makoto Ozone is a renowned Japanese jazz pianist and composer known for his virtuosic technique and international collaborations.
-
B.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
C.
Ryo Hazuki
Ryo Hazuki is a determined young martial artist on a quest to avenge his father's murder in Sega's Shenmue video game series.
-
D.
Mako Mori
Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
-
E.
Akiro
Akiro is a wise and skilled wizard who serves as one of Conan the Barbarian’s key companions in the film "Conan the Destroyer."
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.