Triple
T4231073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Ghidorah |
E94581
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Godzilla |
E92665
|
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: Godzilla | Statement: [King Ghidorah, enemyOf, Godzilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godzilla Context triple: [King Ghidorah, enemyOf, Godzilla]
-
A.
Godzilla
chosen
Godzilla is a giant, city-destroying monster from Japanese cinema, iconic for its towering size, atomic breath, and role as the archetypal kaiju in popular culture.
-
B.
Godzilla (1998 film)
Godzilla (1998 film) is a 1998 American monster movie directed by Roland Emmerich that reimagines the iconic Japanese kaiju in a big-budget Hollywood production set primarily in New York City.
-
C.
Godzilla (2014 film)
Godzilla (2014 film) is a 2014 American monster movie that reboots the Godzilla franchise with a darker, more realistic tone and large-scale kaiju destruction.
-
D.
Kaiju
Kaiju are colossal, monstrous creatures from Japanese science fiction and popular culture, often depicted as city-destroying beasts that battle humanity or other giant monsters.
-
E.
Gamera
Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e62e3c881909ffb9269ba9018b9 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c70cfa6c819096992a9ea7e97801 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:05 p.m.