Triple
T23153296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The East |
E578374
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Sarah Moss |
—
|
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: Sarah Moss | Statement: [The East, character, Sarah Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Moss Context triple: [The East, character, Sarah Moss]
-
A.
Sarah Moss
chosen
Sarah Moss is the protagonist of the film "The East," a former FBI agent who infiltrates an eco-terrorist collective while struggling with conflicting loyalties and moral dilemmas.
-
B.
Jennifer Haigh
Jennifer Haigh is an American novelist and short story writer known for her character-driven literary fiction exploring family, class, and the impact of the energy industry on small-town life.
-
C.
Sarah Hall
Sarah Hall is a contemporary British novelist acclaimed for her innovative, lyrical fiction and multiple literary awards.
-
D.
Jessie Burton
Jessie Burton is a British novelist best known for her bestselling historical fiction debut "The Miniaturist."
-
E.
Kate Ashfield
Kate Ashfield is a British actress best known for her role as Liz in the cult zombie comedy film "Shaun of the Dead."
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.