Triple
T33578369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britain's Got Talent audition performance of "I Dreamed a Dream" |
E860086
|
entity |
| Predicate | contestantCitizenship |
P184410
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Britain's Got Talent audition performance of "I Dreamed a Dream", contestantCitizenship, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contestantCitizenship Context triple: [Britain's Got Talent audition performance of "I Dreamed a Dream", contestantCitizenship, British]
-
A.
contestantNationality
chosen
Indicates that a contestant has a particular national affiliation or citizenship.
-
B.
citizenshipDuringCompetition
Indicates that an individual held a particular citizenship status during the time a specified competition took place.
-
C.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
D.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
E.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 1, 2026, 1:40 a.m.