Triple
T30474233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Bottom Blues |
E775397
|
entity |
| Predicate | countryOfHitSuccess |
P106516
|
FINISHED |
| Object | United Kingdom |
—
|
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 Kingdom | Statement: [Bell Bottom Blues, countryOfHitSuccess, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfHitSuccess Context triple: [Bell Bottom Blues, countryOfHitSuccess, United Kingdom]
-
A.
countryOfNotableSuccess
chosen
Indicates the country in which an entity achieved notable success or recognition.
-
B.
countryOfPopularPerformance
Indicates the country where a performance, work, or activity is especially popular or widely received.
-
C.
recordCountry
Indicates that an entity (such as a record or event) is associated with or originates from a specific country.
-
D.
achievedNumberOneInCountry
Indicates that an entity reached the number one position in a ranking, chart, or listing within a specified country.
-
E.
countrySince
Indicates that an entity has held the status of a country (or has been recognized as such) starting from a specified point in time.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: April 29, 2026, 8:11 p.m.