Triple
T16547273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla universe |
E401973
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Rodan |
E92273
|
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: Rodan | Statement: [Godzilla universe, hasCharacter, Rodan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodan Context triple: [Godzilla universe, hasCharacter, Rodan]
-
A.
Rodan
chosen
Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
-
B.
Roden
Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
-
C.
Roden
Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
-
D.
Reinold
Reinold is a given name that functions as an alternative spelling of the name Reginald.
-
E.
Brandus
Brandus was a 19th-century French music publishing house known for issuing important works by composers such as Hector Berlioz.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbe3fb48190bad143b50dc73c7e |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c794355881908fdec356d12a5635 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:15 a.m.