Triple
T17165049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla vs. King Ghidorah |
E416585
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Megumi Odaka |
—
|
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: Megumi Odaka | Statement: [Godzilla vs. King Ghidorah, starring, Megumi Odaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megumi Odaka Context triple: [Godzilla vs. King Ghidorah, starring, Megumi Odaka]
-
A.
Megumi Odaka
chosen
Megumi Odaka is a Japanese actress best known for portraying psychic character Miki Saegusa in multiple Godzilla films from the late 1980s and 1990s.
-
B.
Megumi Hamada
Megumi Hamada is a Japanese musical theatre actress and singer known for her leading roles in major stage productions.
-
C.
Okamura Megumi
Okamura Megumi is a Japanese voice actress known for her work in anime and video games.
-
D.
Yuki Nagasato
Yuki Nagasato is a Japanese professional footballer and World Cup–winning forward renowned for her prolific international career and success in top women’s leagues in Japan, Germany, and the United States.
-
E.
Eri Kasamoto
Eri Kasamoto is a key playable character and demolitions expert in SNK's run-and-gun video game series Metal Slug.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f914a0748190b2658edbe576ea2d |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 5:37 a.m.