Triple
T5053133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bette Davis Eyes |
E113832
|
entity |
| Predicate | salesCertificationAustralia |
P4915
|
FINISHED |
| Object | Platinum |
—
|
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: Platinum | Statement: [Bette Davis Eyes, salesCertificationAustralia, Platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salesCertificationAustralia Context triple: [Bette Davis Eyes, salesCertificationAustralia, Platinum]
-
A.
certificationAustralia
chosen
Indicates that an entity holds or is associated with a certification that is valid or recognized in Australia.
-
B.
certificationNewZealand
Indicates that an entity holds or is associated with a certification that is specific to or recognized in New Zealand.
-
C.
certificationUK
Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
-
D.
certificationCanada
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid in Canada.
-
E.
certificationUS
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.