Triple
T14608311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevelson |
E342890
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Nevelson |
E342890
|
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: Nevelson | Statement: [Nevelson, hasVariant, Nevelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nevelson Context triple: [Nevelson, hasVariant, Nevelson]
-
A.
Nevelson
chosen
Nevelson is a surname most prominently associated with Louise Nevelson, the influential 20th-century American sculptor known for her monumental monochromatic wooden wall pieces.
-
B.
Nina Nevelson
Nina Nevelson was a daughter of Russian revolutionary leader Leon Trotsky, known primarily through her connection to his family and legacy.
-
C.
Nina Nevelson
Nina Nevelson is a relatively obscure figure whose public biographical or professional details are not well documented in widely available sources.
-
D.
Rauschberg
Rauschberg is a mountain in the Bavarian Alps known for its scenic hiking trails, panoramic views, and accessibility via cable car.
-
E.
Nancy Rubins
Nancy Rubins is an American sculptor known for her monumental assemblage works made from industrial and discarded materials, often installed in large-scale public and institutional settings.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91d05e48190ac945e381d6d5dd9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.