Triple
T20239655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Becker |
E498246
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Jean Becker |
—
|
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: Jean Becker | Statement: [Jacques Becker, relative, Jean Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Becker Context triple: [Jacques Becker, relative, Jean Becker]
-
A.
Jean Becker
chosen
Jean Becker is a French film director and screenwriter known for intimate, character-driven dramas such as "One Deadly Summer" and "Conversations with My Gardener."
-
B.
John Becker
John Becker is a fictional, gruff but caring Bronx doctor portrayed by Ted Danson in the American television sitcom "Becker."
-
C.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
D.
Paula Becker
Paula Becker, better known as Paula Modersohn-Becker, was a pioneering German painter associated with early Expressionism and recognized as one of the first female artists to paint nude self-portraits.
-
E.
Lane Becker
Lane Becker is an American entrepreneur and author best known as a co-founder of the influential user experience design firm Adaptive Path.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716dd0b081909d4063150cdc0c02 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.