Triple
T22479588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Karl |
E555727
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | ABC News |
—
|
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: ABC News | Statement: [Jonathan Karl, employer, ABC News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC News Context triple: [Jonathan Karl, employer, ABC News]
-
A.
ABC News
chosen
ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
-
B.
ABC News
ABC News is an Australian 24-hour news television channel providing national and international news coverage, analysis, and current affairs programming.
-
C.
ABC News Now
ABC News Now was a 24-hour digital cable and satellite news channel operated by ABC News that focused on continuous live news coverage and breaking stories.
-
D.
NBC News
NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
-
E.
CBS News
CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be653bc8190a2e5c47e38228bfe |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.