Triple
T28565065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Sajak |
E722653
|
entity |
| Predicate | networkOfProgramHosted |
P62094
|
FINISHED |
| Object | CBS |
—
|
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: CBS | Statement: [Pat Sajak, networkOfProgramHosted, CBS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOfProgramHosted Context triple: [Pat Sajak, networkOfProgramHosted, CBS]
-
A.
networkOfProgram
Indicates a relationship where a program is part of, or connected within, a broader network of related programs or systems.
-
B.
hostsPrograms
chosen
Indicates that one entity provides the venue, platform, or infrastructure for programs organized, run, or presented by another entity.
-
C.
coHostOf
Indicates a relationship where two or more entities jointly host the same event, program, or activity together.
-
D.
networkOfRealityShow
Indicates that a particular reality show is broadcast or produced by a specific television network.
-
E.
networkOfAppearance
Indicates a relationship where entities are connected through shared or co-occurring appearances within the same context, medium, or setting.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 4:07 a.m.