Triple
T21167132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Mohilever |
E521594
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mohilever |
—
|
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: Mohilever | Statement: [Samuel Mohilever, familyName, Mohilever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohilever Context triple: [Samuel Mohilever, familyName, Mohilever]
-
A.
Mohilever
chosen
Mohilever is a Jewish family name most notably associated with Rabbi Shmuel Mohilever, a prominent 19th-century Orthodox rabbi and early Zionist leader.
-
B.
MacMillon
MacMillon is a surname historically linked to the Scottish Clan MacMillan.
-
C.
Elder-Beerman
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
-
D.
L&M
L&M is an international cigarette brand owned by Philip Morris, known for its mid-priced positioning in the global tobacco market.
-
E.
Minkoff
Minkoff is a surname most prominently associated with American film director Rob Minkoff, known for co-directing Disney’s "The Lion King."
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.