Triple
T27817402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partners in Crime |
E702710
|
entity |
| Predicate | hasChartingSong |
P147294
|
FINISHED |
| Object | Escape (The Piña Colada Song) |
—
|
NE NERFINISHED |
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: Escape (The Piña Colada Song) | Statement: [Partners in Crime, hasChartingSong, Escape (The Piña Colada Song)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChartingSong Context triple: [Partners in Crime, hasChartingSong, Escape (The Piña Colada Song)]
-
A.
hasChart
Indicates that one entity is associated with, represented by, or documented through a chart belonging to or describing it.
-
B.
hasCharting
Indicates that one entity provides or supports charting or graphical data visualization capabilities for another entity.
-
C.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
D.
hasNotableChartingSong
chosen
Indicates that an entity (typically a musical artist or group) has at least one song that has achieved notable placement on a recognized music chart.
-
E.
hasChartedIn
Indicates that something (such as a song, album, or work) has appeared on an official ranking or popularity chart within a specified context (such as a country, chart type, or time period).
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 5:46 p.m.