Triple
T23128121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Becker |
E577092
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben 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: Ben Becker | Statement: [Ben Becker, name, Ben Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Becker Context triple: [Ben Becker, name, Ben Becker]
-
A.
Ben Becker
chosen
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
B.
John Becker
John Becker is a fictional, gruff but caring Bronx doctor portrayed by Ted Danson in the American television sitcom "Becker."
-
C.
Art Becker
Art Becker is a former professional basketball forward best known for his standout scoring and rebounding seasons in the American Basketball Association during the late 1960s and early 1970s.
-
D.
Dennis Becker
Dennis Becker is a recurring character on the television series "The Rockford Files," serving as Jim Rockford’s long-suffering but loyal friend and contact within the Los Angeles Police Department.
-
E.
Richard Becker
Richard Becker was a German theoretical physicist known for his influential work in statistical mechanics, solid-state physics, and as an academic mentor to prominent scientists.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e857b40819081f9df03fff64d48 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 3:59 p.m.