Triple
T4521597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suit & Tie |
E103281
|
entity |
| Predicate | chartPositionCanadianHot100Peak |
P57209
|
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: [Suit & Tie, chartPositionCanadianHot100Peak, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionCanadianHot100Peak Context triple: [Suit & Tie, chartPositionCanadianHot100Peak, 1]
-
A.
chartPositionCanadaAdultContemporary
Indicates the position a song or album achieved on the Canadian Adult Contemporary music chart.
-
B.
chartPositionCanadianRPMTopSingles
Indicates the position a song or single achieved on the Canadian RPM Top Singles music chart.
-
C.
chartPositionCanada
Indicates the position or ranking of something on a chart specifically within Canada.
-
D.
CanadaPeakPosition
Indicates the highest position or rank an entity has achieved within Canada in a specified domain (such as charts, standings, or rankings).
-
E.
chartPositionUSBillboardHot100Peak
Indicates the highest ranking an item has ever reached on the US Billboard Hot 100 chart.
- F. None of above. chosen
Provenance (4 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:02 p.m.