Triple
T20552777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Adler |
E504638
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Jacob Adler |
—
|
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: Jacob Adler | Statement: [Jay Adler, father, Jacob Adler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Adler Context triple: [Jay Adler, father, Jacob Adler]
-
A.
Jacob Adler
chosen
Jacob Adler was a pioneering and influential actor and impresario who became one of the leading stars of the Yiddish theater in the late 19th and early 20th centuries.
-
B.
David Adelstein
David Adelstein is a musician known for his work featured on the album "Bella Donna."
-
C.
Judah Friedlander
Judah Friedlander is an American comedian and actor best known for his deadpan humor, trademark trucker hats, and his role as writer Frank Rossitano on the television series "30 Rock."
-
D.
Paul Adelstein
Paul Adelstein is an American actor best known for his role as Dr. Cooper Freedman on the television medical drama "Private Practice."
-
E.
Jake Adelstein
Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5db052c8190801e53f6148113c8 |
completed | April 20, 2026, 10:16 p.m. |
Created at: April 16, 2026, 11:38 a.m.