Triple
T17165065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla vs. King Ghidorah |
E416585
|
entity |
| Predicate | ratingJapan |
P126355
|
FINISHED |
| Object | G |
—
|
LITERAL 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: G | Statement: [Godzilla vs. King Ghidorah, ratingJapan, G]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ratingJapan Context triple: [Godzilla vs. King Ghidorah, ratingJapan, G]
-
A.
rankByCommonnessInJapan
Indicates how items are ordered based on how commonly they occur or are found in Japan.
-
B.
rankInJapaneseOrders
Indicates the position or level an entity holds within the hierarchy of Japanese orders, decorations, or honors.
-
C.
JapaneseAdvantage
Indicates that one party holds a comparative advantage or superior position specifically in a Japanese context (e.g., language, market, culture, or environment) relative to another.
-
D.
japanParticipation
Indicates Japan’s involvement or role in a particular event, activity, or organization.
-
E.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:37 a.m.