Triple
T8115778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Left to My Own Devices |
E189469
|
entity |
| Predicate | chartedIn |
P19348
|
FINISHED |
| Object | German Singles Chart |
E588339
|
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: German Singles Chart | Statement: [Left to My Own Devices, chartedIn, German Singles Chart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Singles Chart Context triple: [Left to My Own Devices, chartedIn, German Singles Chart]
-
A.
German Singles Chart
chosen
The German Singles Chart is the official weekly ranking of the most popular singles in Germany, based on sales and streaming data.
-
B.
Dutch Singles Chart
The Dutch Singles Chart is a national music ranking in the Netherlands that lists the most popular singles based on sales, streaming, and airplay.
-
C.
European Hot 100
The European Hot 100 was a pan-European music singles chart that ranked the most popular songs across numerous European countries.
-
D.
UK Singles Chart
The UK Singles Chart is the official weekly ranking of the best-selling and most-streamed singles in the United Kingdom, compiled by the Official Charts Company.
-
E.
Australian Singles Chart
The Australian Singles Chart is a weekly ranking of the most popular singles in Australia, compiled primarily from sales and streaming data.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43308e0081909ea0463dabd74e4d |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc944439488190b95788e3a77ee732 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.