Triple
T8610007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calculate Linux |
E203892
|
entity |
| Predicate | desktopEnvironmentOption |
P33855
|
FINISHED |
| Object | Cinnamon |
E212335
|
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: Cinnamon | Statement: [Calculate Linux, desktopEnvironmentOption, Cinnamon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinnamon Context triple: [Calculate Linux, desktopEnvironmentOption, Cinnamon]
-
A.
Cinnamon
Cinnamon is Rajesh Koothrappali’s small Yorkshire Terrier dog from the TV sitcom "The Big Bang Theory," often treated by him as a beloved companion and surrogate child.
-
B.
Cinnamon
chosen
Cinnamon is a modern, user-friendly desktop environment for Linux systems that offers a traditional, Windows-like interface with advanced customization options.
-
C.
Cassia
Cassia is a feminine given name used in various cultures, often associated with warmth and spice due to its connection to the cassia tree and cinnamon.
-
D.
Peppermint
Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
-
E.
Marron
Marron is a surname of French origin borne by various individuals and families around the world.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc5c2d852081908901f5d2a47035b0 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea90dd93081908140ac0ce23be820 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.