Triple
T36437634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Dubrow |
E897629
|
entity |
| Predicate | boardCertifiedIn |
P102335
|
FINISHED |
| Object | plastic surgery |
—
|
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: plastic surgery | Statement: [Terry Dubrow, boardCertifiedIn, plastic surgery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardCertifiedIn Context triple: [Terry Dubrow, boardCertifiedIn, plastic surgery]
-
A.
isCertified
chosen
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
B.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
C.
canCertify
Indicates that one entity has the authority or capability to officially certify another entity or its attributes.
-
D.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
E.
hasCertificationLabel
Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.