Triple
T36196322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Roberta Kittleson |
E1047134
|
entity |
| Predicate | workOriginatedIn |
P182502
|
FINISHED |
| Object | American network television |
—
|
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: American network television | Statement: [Judge Roberta Kittleson, workOriginatedIn, American network television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOriginatedIn Context triple: [Judge Roberta Kittleson, workOriginatedIn, American network television]
-
A.
workOriginatesFrom
chosen
Indicates that the creation, development, or initiation of a work can be traced back to a particular source, agent, or origin.
-
B.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
-
C.
capitalOfOrigin
Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
-
D.
placeOfOrigin
Indicates the location or source from which an entity originally comes or was created.
-
E.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.