Triple
T16122879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex G |
E391188
|
entity |
| Predicate | hasDiscographyItem |
P1995
|
FINISHED |
| Object | DSU |
E1196851
|
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: DSU | Statement: [Alex G, hasDiscographyItem, DSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DSU Context triple: [Alex G, hasDiscographyItem, DSU]
-
A.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
-
B.
DSU
chosen
DSU is the 2015 lo-fi indie rock album by musician Alex G, known for its intimate songwriting and experimental, home-recorded sound.
-
C.
DUS
DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
-
D.
DS
DS is a Microsoft multimedia framework and API used for capturing, processing, and playing audio and video streams on Windows.
-
E.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79ecea0819083aa5cb676d49f64 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5 a.m.