Triple
T17510898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between Angels and Insects |
E426443
|
entity |
| Predicate | chartPosition_GermanSinglesChart_peak |
P26247
|
FINISHED |
| Object | between 40 and 60 |
—
|
LITERAL 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: between 40 and 60 | Statement: [Between Angels and Insects, chartPosition_GermanSinglesChart_peak, between 40 and 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPosition_GermanSinglesChart_peak Context triple: [Between Angels and Insects, chartPosition_GermanSinglesChart_peak, between 40 and 60]
-
A.
chartPositionGermanSinglesChart
chosen
Indicates the position an item reached on the German singles music chart.
-
B.
chartPositionGermanAlbums
Indicates the position an album achieved on the German music albums chart.
-
C.
chartPositionAustrianSinglesChart
Indicates the position an item reached on the Austrian singles music chart.
-
D.
chartPositionEuropeanHot100
Indicates the position an item reached on the European Hot 100 music chart.
-
E.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
- F. None of above.
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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525b03c48190ada74a7da0f4739c |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.