Triple
T27537460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirits Having Flown |
E695133
|
entity |
| Predicate | singleChartPeakUSBillboardHot100 |
P30368
|
FINISHED |
| Object | 1 for Tragedy |
—
|
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 for Tragedy | Statement: [Spirits Having Flown, singleChartPeakUSBillboardHot100, 1 for Tragedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleChartPeakUSBillboardHot100 Context triple: [Spirits Having Flown, singleChartPeakUSBillboardHot100, 1 for Tragedy]
-
A.
chartPeakDateUSBillboardHot100
Indicates the date on which a song or album reached its highest position on the US Billboard Hot 100 chart.
-
B.
firstChartEntryUSBillboardHot100
Indicates that the subject’s first appearance on the US Billboard Hot 100 chart is the object entry.
-
C.
weeksAtNumberOneUSBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
D.
chartPositionUSBillboardHot100Peak
chosen
Indicates the highest ranking an item has ever reached on the US Billboard Hot 100 chart.
-
E.
chartPositionUSBillboardHotCountrySingles
Indicates the position a song or record achieved on the US Billboard Hot Country Singles chart.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:29 p.m.