Triple
T16868361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Dano |
E410102
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Linda Dano |
E410102
|
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: Linda Dano | Statement: [Linda Dano, name, Linda Dano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Dano Context triple: [Linda Dano, name, Linda Dano]
-
A.
Linda Dano
chosen
Linda Dano is an American actress and television host best known for her long-running, Emmy-winning work in daytime soap operas.
-
B.
Jill Kendall
Jill Kendall is a main character on the sitcom "Mom," portrayed as Christy Plunkett’s sarcastic, hard-drinking best friend and fellow member of Alcoholics Anonymous.
-
C.
Gena Lee Nolin
Gena Lee Nolin is an American actress and model best known for her role as Neely Capshaw on the television series Baywatch.
-
D.
Nancy Olson
Nancy Olson is an American actress best known for her Academy Award–nominated role in the classic film "Sunset Boulevard."
-
E.
Darilyn Durdin
Darilyn Durdin is a sibling of American actor Gary Dourdan, known for his role on the television series "CSI: Crime Scene Investigation."
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50a82348190b3e33fd558aa3c7f |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aba8c481908f5ff1ddc4b255cb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.