Triple
T30515479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheryl |
E776552
|
entity |
| Predicate | popularityPeakCountry |
P23844
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Cheryl, popularityPeakCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularityPeakCountry Context triple: [Cheryl, popularityPeakCountry, United States]
-
A.
chartPeakCountry
chosen
Indicates the country in which a work (such as a song or album) reached its highest position on a music chart.
-
B.
usCountryAlbumsPeakPosition
Indicates the highest chart position an album achieved on a U.S. country music albums chart.
-
C.
popularityContext
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
-
D.
chartPeakDateUSHotCountrySongs
Indicates the date on which a song reached its highest chart position on the US Hot Country Songs chart.
-
E.
internationalPopularity
Indicates that something is widely recognized, appreciated, or favored across multiple countries or cultures.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 8:16 p.m.