Triple
T22235793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Point USA |
E549587
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Candace Owens |
—
|
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: Candace Owens | Statement: [Turning Point USA, hasKeyPerson, Candace Owens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candace Owens Context triple: [Turning Point USA, hasKeyPerson, Candace Owens]
-
A.
Candace Owens
chosen
Candace Owens is a conservative political commentator and media personality known for her outspoken support of right-wing politics and frequent appearances in U.S. media.
-
B.
Celeste O’Connor
Celeste O’Connor is an American actor known for their breakout role in the supernatural comedy film "Ghostbusters: Afterlife" and subsequent work in genre and teen-focused movies.
-
C.
Laura Ingraham
Laura Ingraham is a conservative American television and radio host, author, and political commentator best known for her primetime show on Fox News.
-
D.
Ashli Adams
Ashli Adams is an American actress best known for her role on the 1990s sitcom "The Parent 'Hood."
-
E.
Leah Pipes
Leah Pipes is an American actress best known for her roles in television series such as "The Originals" and various film and TV projects.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.