Triple
T19832743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plutus |
E476503
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Cario |
—
|
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: Cario | Statement: [Plutus, featuresCharacter, Cario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cario Context triple: [Plutus, featuresCharacter, Cario]
-
A.
Cario
chosen
Cario is a character in the ancient Greek comedy "Plutus" by Aristophanes, serving as a household slave whose actions and commentary contribute to the play’s satire of wealth and social justice.
-
B.
Cirocha
Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
-
C.
Cariu
Cariu is a district in West Java, Indonesia, located within Bogor Regency and known for its rural landscapes and agricultural communities.
-
D.
Saca
Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
-
E.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.