Triple
T6514933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander Schultz |
E148231
|
entity |
| Predicate | countryOfService |
P253
|
FINISHED |
| Object | Tomainia |
E603727
|
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: Tomainia | Statement: [Commander Schultz, countryOfService, Tomainia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomainia Context triple: [Commander Schultz, countryOfService, Tomainia]
-
A.
Tomainia
chosen
Tomainia is the fictional fascist dictatorship in Charlie Chaplin’s film "The Great Dictator," serving as a satirical stand-in for Nazi Germany.
-
B.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
C.
Apricale
Apricale is a picturesque medieval hilltop village in the Ligurian region of northwestern Italy, known for its stone houses, narrow alleys, and scenic views.
-
D.
Rumbia
Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
-
E.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0bea808190aebc2905fb53eeba |
completed | March 27, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeca8ab88190aa8464671bdde2ec |
completed | March 27, 2026, 8:55 p.m. |
Created at: March 27, 2026, 1:44 p.m.