Triple
T6067100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solar Opposites |
E135186
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Korvo
Korvo is a misanthropic alien scientist and one of the central protagonists of the animated comedy series "Solar Opposites."
|
E565450
|
NE FINISHED |
How this triple was built (4 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: Korvo | Statement: [Solar Opposites, hasMainCharacter, Korvo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korvo Context triple: [Solar Opposites, hasMainCharacter, Korvo]
-
A.
Olzino
Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
-
B.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
-
C.
Rykove
Rykove is a former name of the industrial city now known as Yenakiieve in eastern Ukraine.
-
D.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
E.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Korvo Triple: [Solar Opposites, hasMainCharacter, Korvo]
Generated description
Korvo is a misanthropic alien scientist and one of the central protagonists of the animated comedy series "Solar Opposites."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korvo Target entity description: Korvo is a misanthropic alien scientist and one of the central protagonists of the animated comedy series "Solar Opposites."
-
A.
Olzino
Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
-
B.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
-
C.
Rykove
Rykove is a former name of the industrial city now known as Yenakiieve in eastern Ukraine.
-
D.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
E.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
- F. None of above. chosen
Provenance (5 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d297ff88190a01b98f7ec9d9cf1 |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11e956aa08190ac3fef49fb67471c |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11f05ff9081908adc7f40fa12e834 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:10 p.m.