Triple
T3424509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Rubin |
E72195
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karl Rubin |
E72195
|
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: Karl Rubin | Statement: [Karl Rubin, name, Karl Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Rubin Context triple: [Karl Rubin, name, Karl Rubin]
-
A.
Karl Rubin
chosen
Karl Rubin is an American mathematician renowned for his work in number theory, particularly on elliptic curves and Iwasawa theory.
-
B.
Friedrich L. Bauer
Friedrich L. Bauer was a German computer scientist and pioneer in programming language design, notably contributing to the development of ALGOL 60 and foundational concepts in software engineering.
-
C.
David L. Rabinowitz
David L. Rabinowitz is an American astronomer known for his role in the discovery of several trans-Neptunian objects and dwarf planets, including Eris.
-
D.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
E.
Leo Friedlander
Leo Friedlander was an American sculptor known for his large-scale public monuments and architectural sculpture, particularly in the mid-20th century.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb97fa2d88190a79cb8c7be4b3696 |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547468b8819088e7c4cf3b2e2079 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.