Triple
T10281764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayla Pospisil |
E241116
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Fox News |
E10949
|
NE 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: Fox News | Statement: [Kayla Pospisil, employer, Fox News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fox News Context triple: [Kayla Pospisil, employer, Fox News]
-
A.
Fox News Channel
chosen
Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
-
B.
Fox News International
Fox News International is the global subscription streaming service that delivers Fox News Channel and related programming to audiences outside the United States.
-
C.
Fox News Media
Fox News Media is a conservative-leaning American media company that operates the Fox News Channel, Fox Business Network, and related television and digital news properties.
-
D.
Fox News Radio
Fox News Radio is a U.S.-based radio network that provides news, talk, and opinion programming aligned with the broader Fox News brand.
-
E.
FOX
FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a177b48190aab7d7857f5bba7b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d012ae481909633b1333dc88b63 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:39 a.m.