Triple
T14564511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerbel |
E341749
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Lev Kerbel |
E68511
|
NE FINISHED |
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: Lev Kerbel | Statement: [Kerbel, hasNotableBearer, Lev Kerbel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lev Kerbel Context triple: [Kerbel, hasNotableBearer, Lev Kerbel]
-
A.
Lev Kerbel
chosen
Lev Kerbel was a prominent Soviet sculptor renowned for his monumental public works and statues of communist leaders.
-
B.
Yakov Resnik
Yakov Resnik is a notable individual recognized for bearing the surname Resnik, though specific widely known biographical details about him are not clearly established in public records.
-
C.
Louis Resnick
Louis Resnick is a notable individual distinguished enough to be recognized as a prominent bearer of the Resnick surname.
-
D.
Nicholas Sagan
Nicholas Sagan is the son of science communicator Ann Druyan and famed astronomer Carl Sagan.
-
E.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac485688190a2917251a7c8721a |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.