Triple
T13804692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loni Anderson |
E331729
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Loni Anderson |
E331729
|
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: Loni Anderson | Statement: [Loni Anderson, name, Loni Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loni Anderson Context triple: [Loni Anderson, name, Loni Anderson]
-
A.
Loni Anderson
chosen
Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
-
B.
Sandi Patty
Sandi Patty is an acclaimed American Christian music singer known for her powerful soprano voice and numerous Dove Awards.
-
C.
Martie Allen
Martie Allen is an American woman best known as the long-term partner of former child star and Emmy-winning actress Kristy McNichol.
-
D.
Jeannie Seely
Jeannie Seely is an American country music singer and Grand Ole Opry member known for her 1966 hit "Don't Touch Me" and her long, influential career in Nashville.
-
E.
Barbara West
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.