Triple
T14564519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lev Kerbel |
E341749
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Kerbel |
E341749
|
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: Kerbel | Statement: [Lev Kerbel, hasSurname, Kerbel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerbel Context triple: [Lev Kerbel, hasSurname, Kerbel]
-
A.
Kerbel
chosen
Kerbel is a surname most notably associated with Lev Kerbel, a prominent Soviet sculptor known for his large-scale public monuments.
-
B.
Dartnell
Dartnell is a surname most notably associated with Jorge Chávez Dartnell, a pioneering early 20th-century Peruvian aviator.
-
C.
Landers
Landers is a small unincorporated desert community in San Bernardino County, California, known for its remote High Desert setting and proximity to Joshua Tree National Park.
-
D.
Mathesar
Mathesar is the naive yet earnest Thermian leader in the sci-fi comedy film "Galaxy Quest," whose unwavering faith in the show's fictional heroes drives much of the movie's plot and humor.
-
E.
Starhopper
Starhopper is SpaceX’s early prototype test vehicle used to validate key technologies for the Starship launch system, particularly its Raptor engines and vertical takeoff and landing capabilities.
- 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.