Triple
T18262531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Ehrlich |
E437397
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sidney Ehrlich |
—
|
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: Sidney Ehrlich | Statement: [Sidney Ehrlich, name, Sidney Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Ehrlich Context triple: [Sidney Ehrlich, name, Sidney Ehrlich]
-
A.
Sidney Ehrlich
chosen
Sidney Ehrlich is an individual notable enough to be recognized as a prominent bearer of the Ehrlich surname.
-
B.
Herbert Edelman
Herbert Edelman was an American character actor best known for his Emmy-nominated role as Stan Zbornak on the television sitcom "The Golden Girls."
-
C.
Steven G. Ehrlich
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
-
D.
Milton J. Rosenberg
Milton J. Rosenberg was an American social psychologist and long-time Chicago radio talk show host known for his influential program "Extension 720."
-
E.
Sidney Levin
Sidney Levin was a film editor best known for his work on influential American movies such as Martin Scorsese’s early crime drama "Mean Streets."
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff77882c81909774aefc57ccca3e |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.