Triple
T13613944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Girl |
E325262
|
entity |
| Predicate | chartPeakBillboardHot100 |
P109661
|
FINISHED |
| Object | 29 |
—
|
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: 29 | Statement: [Mississippi Girl, chartPeakBillboardHot100, 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPeakBillboardHot100 Context triple: [Mississippi Girl, chartPeakBillboardHot100, 29]
-
A.
chartPeakDateUSBillboardHot100
Indicates the date on which a song or album reached its highest position on the US Billboard Hot 100 chart.
-
B.
chartPeakCountry_US_Billboard_Hot_100
chosen
Indicates that the entity reached its peak chart position on the US Billboard Hot 100.
-
C.
chartPosition_US_Billboard_Hot_100
Indicates the position an item achieved on the US Billboard Hot 100 music chart.
-
D.
weeksAtNumberOneOnBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the Billboard Hot 100 chart.
-
E.
topHot100SongWinner
Indicates that the subject is the song that achieved the number one position on the Hot 100 chart for a given time period or award.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.