Triple
T23536898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singspiel |
E577622
|
entity |
| Predicate | studCareerCountry |
P34657
|
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: [Singspiel, studCareerCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studCareerCountry Context triple: [Singspiel, studCareerCountry, United Kingdom]
-
A.
countryForCollegeCareer
chosen
Indicates the country in which a person pursued or developed their college-level education or athletic career.
-
B.
studCareer
Indicates that a student is pursuing or associated with a particular academic or professional career path.
-
C.
studCareerAt
Indicates that a student pursued or developed their academic or professional career at a particular institution or organization.
-
D.
studCareerLocation
Indicates the place where a student's academic or professional career activities occur or are based.
-
E.
studCareerStart
Indicates the point in time when a student's professional or academic career begins.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1738bc81909a7b761ddbaa1883 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.