Triple
T8918242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMDE |
E212345
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | mintMenu |
E212337
|
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: mintMenu | Statement: [LMDE, includes, mintMenu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mintMenu Context triple: [LMDE, includes, mintMenu]
-
A.
mintMenu
chosen
mintMenu is a customizable, menu-style application launcher designed for the Linux Mint desktop environment to provide easy access to installed programs, system settings, and search.
-
B.
MatMenu
MatMenu is an Angular Material UI component that provides a configurable, accessible dropdown menu for displaying lists of actions or options.
-
C.
The Menu
The Menu is a 2022 dark comedy horror film about an exclusive dining experience that spirals into a sinister ordeal, starring Anya Taylor-Joy and Ralph Fiennes.
-
D.
Menuhin
Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
-
E.
Menu Pineau
Menu Pineau is a traditional white grape variety from France’s Loire Valley, particularly associated with the Touraine region, known for producing fresh, high-acid wines often used in blends.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba49d65c8190b9d9908822198cc0 |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.