Triple
T9341547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toho |
E224773
|
entity |
| Predicate | hasNotableCharacter |
P7927
|
FINISHED |
| Object | King Ghidorah |
E94581
|
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: King Ghidorah | Statement: [Toho, hasNotableCharacter, King Ghidorah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Ghidorah Context triple: [Toho, hasNotableCharacter, King Ghidorah]
-
A.
King Ghidorah
chosen
King Ghidorah is a three-headed, golden dragon-like kaiju and one of Godzilla’s most powerful and iconic adversaries in the Godzilla franchise.
-
B.
Mothra
Mothra is a giant, benevolent moth-like monster from the Godzilla franchise, known for her guardian role, mystical powers, and recurring appearances as one of the series’ most iconic kaiju.
-
C.
Anguirus
Anguirus is a giant, spiked, ankylosaurus-like kaiju from the Godzilla franchise, known as one of Godzilla’s earliest recurring monster allies.
-
D.
Gamera
Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
-
E.
Mechagodzilla
Mechagodzilla is a giant robotic kaiju and one of Godzilla’s most formidable recurring adversaries in the Godzilla franchise.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bafa9108190889397614756020d |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e4043e288190b05511d537b1614d |
completed | April 4, 2026, 10:12 a.m. |
Created at: March 30, 2026, 7:40 p.m.