Triple
T10157382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dr. Oz Show |
E233806
|
entity |
| Predicate | notableHostProfession |
P5272
|
FINISHED |
| Object | cardiothoracic surgeon |
—
|
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: cardiothoracic surgeon | Statement: [The Dr. Oz Show, notableHostProfession, cardiothoracic surgeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHostProfession Context triple: [The Dr. Oz Show, notableHostProfession, cardiothoracic surgeon]
-
A.
notableProductionHosted
Indicates that an entity has served as the host or venue for a notable production or show.
-
B.
notableOnAirPersonality
chosen
Indicates that an entity is recognized as a prominent or distinguished on-air media personality associated with another entity (such as a show, station, or network).
-
C.
notableHolderOccupation
Indicates that a person notably associated with an entity (e.g., an award, office, or title) held a particular occupation or professional role.
-
D.
notablePersonnel
Indicates that the subject has associated individuals who are particularly important, distinguished, or prominent in relation to it.
-
E.
notableSpeakerType
Indicates the type or category of a person who is recognized as a notable or distinguished speaker in a given context.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.