Triple
T10826435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mono project |
E255508
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mono |
E182226
|
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: Mono | Statement: [Mono project, name, Mono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mono Context triple: [Mono project, name, Mono]
-
A.
Mono
chosen
Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
-
B.
Mono
Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
-
C.
Monolitten
Monolitten is a famous 14-meter-tall granite sculpture by Gustav Vigeland, carved from a single stone and standing as the central monument in Oslo’s Vigeland Park.
-
D.
Mono vs Stereo
Mono vs Stereo is an independent Christian rock record label known for releasing albums by bands such as Relient K.
-
E.
Monotones
Monotones is a minimalist, neoclassical ballet choreographed by Frederick Ashton, renowned for its geometric precision and ethereal atmosphere.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d1c24881909f56d56207cccbef |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7c45f288190a5235b5d7000a32c |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:19 p.m.