Triple
T5053111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bette Davis Eyes |
E113832
|
entity |
| Predicate | chartPositionSwitzerlandSinglesChart |
P32623
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Bette Davis Eyes, chartPositionSwitzerlandSinglesChart, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionSwitzerlandSinglesChart Context triple: [Bette Davis Eyes, chartPositionSwitzerlandSinglesChart, 1]
-
A.
chartPositionSwitzerland
chosen
Indicates the position or ranking that something holds on a music or sales chart specifically in Switzerland.
-
B.
chartPositionGermanSinglesChart
Indicates the position an item reached on the German singles music chart.
-
C.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
-
D.
chartPositionFrenchSinglesChart
Indicates the position an item holds on the French singles music chart.
-
E.
passengerTrafficRankInSwitzerland
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Switzerland.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.