Triple
T33578344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britain's Got Talent audition performance of "I Dreamed a Dream" |
E860086
|
entity |
| Predicate | contestantOccupationDescribedAs |
P183536
|
FINISHED |
| Object | unemployed |
—
|
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: unemployed | Statement: [Britain's Got Talent audition performance of "I Dreamed a Dream", contestantOccupationDescribedAs, unemployed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contestantOccupationDescribedAs Context triple: [Britain's Got Talent audition performance of "I Dreamed a Dream", contestantOccupationDescribedAs, unemployed]
-
A.
presenterOccupation
Indicates that an entity serves in a specific professional role or job as a presenter.
-
B.
patronOccupation
Indicates that one entity serves as the occupation or professional role held by a patron entity.
-
C.
starredPerformerOccupation
Indicates the occupation or professional role of a performer who starred in a work or production.
-
D.
protagonistParentOccupation
Indicates the occupation or job held by the protagonist’s parent in the described context.
-
E.
proposerOccupation
Indicates the occupation or professional role held by the entity acting as the proposer in a given context.
- F. None of above. chosen
Provenance (4 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_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 1, 2026, 1:40 a.m.