Triple
T13236194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Written on the Wind |
E315151
|
entity |
| Predicate | soundMix |
P14839
|
FINISHED |
| Object | Mono |
E893777
|
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: [Written on the Wind, soundMix, Mono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mono Context triple: [Written on the Wind, soundMix, Mono]
-
A.
Mono
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.
Mono
chosen
Mono is a Japanese post-rock band known for its expansive, cinematic instrumentals and emotionally intense live performances.
-
D.
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.
-
E.
Montone
Montone is a river in the Emilia-Romagna region of northern Italy.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff3079c08190977663e5d4762a80 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:22 p.m.