Triple
T16868389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Dano |
E410102
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Entertaining with 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: Entertaining with Linda Dano | Statement: [Linda Dano, notableWork, Entertaining with Linda Dano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entertaining with Linda Dano Context triple: [Linda Dano, notableWork, Entertaining with 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.
Linda Lea
Linda Lea is a television producer best known for creating the popular cooking competition show "Chopped."
-
C.
Linda Thorson
Linda Thorson is a Canadian actress best known for playing Tara King in the classic British television series "The Avengers."
-
D.
Linda Kramer
Linda Kramer is best known as the wife of Aerosmith drummer Joey Kramer.
-
E.
Linda
"Linda" is a popular 1946 pop standard song closely associated with American singer Buddy Clark.
- 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.