Triple
T8013264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chantal Prym |
E186547
|
entity |
| Predicate | livesIn |
P40
|
FINISHED |
| Object | Viscos |
E682772
|
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: Viscos | Statement: [Chantal Prym, livesIn, Viscos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viscos Context triple: [Chantal Prym, livesIn, Viscos]
-
A.
Viscos
chosen
Viscos is a small, isolated mountain village featured as the primary setting in Paulo Coelho’s novel "The Devil and Miss Prym."
-
B.
Visco
Visco is an Italian surname most notably borne by Ignazio Visco, the Governor of the Bank of Italy.
-
C.
Viskan
Viskan is a river in southwestern Sweden that flows through the province of Halland into the Kattegat.
-
D.
Viskase
Viskase is a manufacturing company best known for producing cellulose and plastic casings used in the global meat and poultry processing industry.
-
E.
Volax
Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d73bf048190ad8066a7e95c34b0 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56b4608081909c546d56129d1164 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:19 p.m.