Triple
T21462645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Peel |
E529510
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Diana Rigg |
—
|
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: Diana Rigg | Statement: [Emma Peel, portrayedBy, Diana Rigg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Rigg Context triple: [Emma Peel, portrayedBy, Diana Rigg]
-
A.
Diana Rigg
chosen
Diana Rigg was an acclaimed English actress best known for her roles as Emma Peel in the 1960s TV series "The Avengers" and Olenna Tyrell in "Game of Thrones."
-
B.
Diana Quick
Diana Quick is an English actress known for her work in film, television, and theatre, notably her role as Julia Flyte in the acclaimed TV adaptation of "Brideshead Revisited."
-
C.
Kate O'Mara
Kate O'Mara was a British actress best known for her glamorous, often villainous roles in television dramas such as Dynasty and Doctor Who.
-
D.
Anna Neagle
Anna Neagle was a popular British film and stage actress of the mid-20th century, known for her elegant screen presence and frequent collaborations with director Herbert Wilcox.
-
E.
Glenda Jackson
Glenda Jackson was an acclaimed British actress and Labour Party politician, renowned for her Oscar-winning film roles and later service as a Member of Parliament.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9efdb188190be79b72e1bd18860 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.