Triple
T20995148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nevers |
E517126
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Elizabeth Berrington |
—
|
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: Elizabeth Berrington | Statement: [The Nevers, leadActor, Elizabeth Berrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Berrington Context triple: [The Nevers, leadActor, Elizabeth Berrington]
-
A.
Elizabeth Berrington
chosen
Elizabeth Berrington is a British actress known for her work in television, film, and theatre, including prominent roles in series such as The Syndicate.
-
B.
Laura Bellingham
Laura Bellingham is a cinematographer known for her work on the fantasy adventure film "Amulet."
-
C.
Elizabeth Ayres
Elizabeth Ayres was the wife of American Revolutionary War officer and pioneering surveyor Rufus Putnam.
-
D.
Elizabeth Alington
Elizabeth Alington was a British aristocrat and the wife of Conservative politician and former UK Prime Minister Alec Douglas-Home.
-
E.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1fd5d48190a56981cee95ebd69 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.