Triple
T20029587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joffe |
E495084
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Yoffe |
—
|
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: Yoffe | Statement: [Joffe, hasVariant, Yoffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoffe Context triple: [Joffe, hasVariant, Yoffe]
-
A.
Joffe
chosen
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
-
B.
Yaffe
Yaffe is a surname of Jewish origin borne by various individuals, including those in public, academic, and cultural fields.
-
C.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
-
D.
Pfefferberg
Pfefferberg is a surname most notably associated with Poldek Pfefferberg, a Holocaust survivor who played a key role in bringing Oskar Schindler’s story to public attention.
-
E.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.