Triple
T29507581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caught a Lite Sneeze |
E748552
|
entity |
| Predicate | chartPositionBillboardAlternativeSongs |
P28543
|
FINISHED |
| Object | 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: 60 | Statement: [Caught a Lite Sneeze, chartPositionBillboardAlternativeSongs, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionBillboardAlternativeSongs Context triple: [Caught a Lite Sneeze, chartPositionBillboardAlternativeSongs, 60]
-
A.
chartPositionBillboardAlternativeSongsPeak
Indicates the highest chart position an entity reached on the Billboard Alternative Songs chart.
-
B.
chartPositionUSAlternativeSongs
chosen
Indicates the position an item reached on the US Alternative Songs music chart.
-
C.
chartPositionBillboardTopTracks
Indicates the ranking position a track holds on Billboard’s Top Tracks chart.
-
D.
chartPositionBillboardHot100Country
Indicates the position an item holds on the Billboard Hot 100 Country chart for a given time period.
-
E.
chartPositionUSBillboardHot100Airplay
Indicates the position an item reached on the US Billboard Hot 100 Airplay 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 4:29 p.m.