Triple
T18131934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dehner |
E434033
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | John Dehner Forkum |
—
|
NE NERFINISHED |
How this triple was built (3 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: John Dehner Forkum | Statement: [John Dehner, birthName, John Dehner Forkum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Dehner Forkum Context triple: [John Dehner, birthName, John Dehner Forkum]
-
A.
Charles Denner
Charles Denner was a French actor known for his intense, often eccentric performances in European cinema, including collaborations with directors like François Truffaut.
-
B.
William Mortensen
William Mortensen was an American photographer best known for his controversial, pictorialist and often macabre images that challenged the emerging modernist aesthetic in early 20th-century photography.
-
C.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
D.
Arthur Leland
Arthur Leland was a prominent figure significant enough in his community or field to have the notable Leland Tower named in his honor.
-
E.
Grant Wistrom
Grant Wistrom is a former American football defensive end best known for his standout college career at the University of Nebraska and his Super Bowl–winning tenure in the NFL with the St. Louis Rams.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Dehner Forkum Target entity description: John Dehner Forkum, better known as John Dehner, was an American actor recognized for his numerous character roles in film, television, and radio from the 1940s through the 1980s.
-
A.
Charles Denner
Charles Denner was a French actor known for his intense, often eccentric performances in European cinema, including collaborations with directors like François Truffaut.
-
B.
William Mortensen
William Mortensen was an American photographer best known for his controversial, pictorialist and often macabre images that challenged the emerging modernist aesthetic in early 20th-century photography.
-
C.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
D.
Arthur Leland
Arthur Leland was a prominent figure significant enough in his community or field to have the notable Leland Tower named in his honor.
-
E.
Grant Wistrom
Grant Wistrom is a former American football defensive end best known for his standout college career at the University of Nebraska and his Super Bowl–winning tenure in the NFL with the St. Louis Rams.
- F. None of above. chosen
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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf2c68881909dfbe59df15ddccc |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.