Triple
T6322915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Lea Yunaska |
E141786
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Real News Update |
E77945
|
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: Real News Update | Statement: [Lara Lea Yunaska, notableWork, Real News Update]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real News Update Context triple: [Lara Lea Yunaska, notableWork, Real News Update]
-
A.
Real News Update (online show)
chosen
Real News Update is an online political news and commentary show hosted by Lara Trump, known for promoting pro-Trump perspectives and messaging.
-
B.
World News Now
World News Now is an overnight American television news program on ABC known for its offbeat, informal style and coverage of national and international stories.
-
C.
The News
The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
-
D.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
E.
Brave News
Brave News is a privacy-focused, customizable news feed feature built into the Brave browser that aggregates content from various sources without tracking users.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e38f1c81909c7e90b520602bae |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e490472c8190b4ecc935bf03d01e |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:29 p.m.