Triple
T20468952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur B. Rubinstein |
E502132
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rubinstein |
—
|
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: Rubinstein | Statement: [Arthur B. Rubinstein, familyName, Rubinstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubinstein Context triple: [Arthur B. Rubinstein, familyName, Rubinstein]
-
A.
Rubinstein
chosen
Rubinstein is a Jewish surname of German and Yiddish origin borne by numerous notable figures in fields such as music, mathematics, and economics.
-
B.
Rubinshtein
Rubinshtein is a variant spelling of the surname Rubinstein, which is associated with several notable figures in music, mathematics, and other fields.
-
C.
Rosenstein
Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
-
D.
Schoenfeld
Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
E.
Rubenfeld
Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995f753081909bbe03f7c251d9c1 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.