Triple
T20879318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillinger (1945 film) |
E514102
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Anne Jeffreys |
—
|
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: Anne Jeffreys | Statement: [Dillinger (1945 film), starring, Anne Jeffreys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Jeffreys Context triple: [Dillinger (1945 film), starring, Anne Jeffreys]
-
A.
Anne Jeffreys
chosen
Anne Jeffreys was an American actress and singer best known for her work in film, television, and on Broadway from the 1940s onward.
-
B.
Anne Gurdon
Anne Gurdon was an English gentlewoman of the Gurdon family best known as the mother of John Wodehouse, 1st Earl of Kimberley.
-
C.
Anne Douglas
Anne Douglas was a German-born Belgian-American film producer and philanthropist best known as the longtime wife and partner of actor Kirk Douglas.
-
D.
Anne Morton
Anne Morton is a fictional character, likely from a narrative in which she is closely connected to Barbara Morton, who plays a supportive role in her story.
-
E.
Jennifer Youngs
Jennifer Youngs is an American actress and the daughter of actor John Savage, known for her roles in film and television in the 1980s and 1990s.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.