Triple
T33578367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britain's Got Talent audition performance of "I Dreamed a Dream" |
E860086
|
entity |
| Predicate | contestantFullName |
P184034
|
FINISHED |
| Object | Susan Magdalane Boyle |
—
|
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: Susan Magdalane Boyle | Statement: [Britain's Got Talent audition performance of "I Dreamed a Dream", contestantFullName, Susan Magdalane Boyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contestantFullName Context triple: [Britain's Got Talent audition performance of "I Dreamed a Dream", contestantFullName, Susan Magdalane Boyle]
-
A.
opponentFullName
Indicates the full name of an entity’s opponent in a competitive or adversarial context.
-
B.
runnerUpFullName
Indicates the full name of the entity that finished in second place in a competition or ranking.
-
C.
winnerFullName
Indicates the full personal name of the entity that is the winner in a given event or competition.
-
D.
performerFullName
Indicates the complete name of the entity that performs an action or role in the described context.
-
E.
contestantOn
Indicates that one entity participates as a competitor in a contest, show, or competition associated with another entity.
- 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_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 1, 2026, 1:40 a.m.