Triple
T13804704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loni Anderson |
E331729
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Jennifer Marlowe |
E845435
|
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: Jennifer Marlowe | Statement: [Loni Anderson, portrayed, Jennifer Marlowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Marlowe Context triple: [Loni Anderson, portrayed, Jennifer Marlowe]
-
A.
Jennifer Marlowe
chosen
Jennifer Marlowe is a glamorous, intelligent, and unflappable receptionist character from the WKRP in Cincinnati television franchise, known for subverting "dumb blonde" stereotypes.
-
B.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
C.
Emily Greenhouse
Emily Greenhouse is an American journalist and literary editor who serves as editor in chief of the influential magazine The New York Review of Books.
-
D.
Beth Seaton
Beth Seaton is a central character in the 1978 equestrian drama film "International Velvet," serving as one of the key figures in the protagonist's journey through competitive horse riding.
-
E.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
- 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_69fcdeefd61c81908d189237af45467a |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:12 p.m.