Triple
T17873976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escape from Sobibor |
E446903
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jack Gold |
—
|
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: Jack Gold | Statement: [Escape from Sobibor, director, Jack Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Gold Context triple: [Escape from Sobibor, director, Jack Gold]
-
A.
Jack Gold
chosen
Jack Gold was a British film and television director known for his socially conscious dramas and acclaimed adaptations, including the landmark TV film "The Naked Civil Servant."
-
B.
Mort Goldman
Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
-
C.
Bo Goldmann
Bo Goldmann is a screenwriter best known for his work on the comedy film "Armed and Dangerous."
-
D.
Art Goldberg
Art Goldberg was a prominent activist and organizer associated with the 1960s Free Speech Movement at the University of California, Berkeley.
-
E.
George Goldberg
George Goldberg was one of the children of American cartoonist and inventor Rube Goldberg.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa4959881908774dafb7be99191 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.