Triple
T17459414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla vs. Mothra (1992 film) |
E425113
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Cosmos |
—
|
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: Cosmos | Statement: [Godzilla vs. Mothra (1992 film), featuresCharacter, Cosmos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosmos Context triple: [Godzilla vs. Mothra (1992 film), featuresCharacter, Cosmos]
-
A.
Cosmos
Cosmos is the vast, orderly universe encompassing all space, time, matter, and energy.
-
B.
Cosmos
Cosmos is a popular science book by astronomer Carl Sagan that explores the origins, structure, and wonders of the universe in an accessible and philosophical way.
-
C.
Cosmos
Cosmos is a decentralized blockchain ecosystem and interoperability protocol designed to enable independent networks to communicate and scale together.
-
D.
Cosmos
chosen
Cosmos are twin fairy priestesses in the Godzilla franchise who serve as mystical guardians and spokespersons for the kaiju Mothra.
-
E.
Cosmos
Cosmos is a professional soccer club based in New York, historically famous for attracting global stars like Pelé and popularizing the sport in the United States during the 1970s.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451444e008190944d9668d4d901fa |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.