Triple
T20895460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert L. Bernstein |
E514520
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bernstein |
—
|
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: Bernstein | Statement: [Robert L. Bernstein, familyName, Bernstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernstein Context triple: [Robert L. Bernstein, familyName, Bernstein]
-
A.
Bernstein
chosen
Bernstein is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as journalism, music, mathematics, and the arts.
-
B.
Bernstein Mass
Bernstein Mass is a large-scale, genre-blending theatrical work by Leonard Bernstein that combines elements of classical music, musical theater, and religious liturgy.
-
C.
Strauss
Strauss is a common German surname borne by numerous notable figures in fields such as music, politics, and literature.
-
D.
Julius Bernstein
Julius Bernstein was a German physiologist best known for his pioneering work on the biophysics of nerve and muscle, including the development of the membrane theory of bioelectric potentials.
-
E.
Steven Bernstein
Steven Bernstein is a cinematographer and film director known for his work on feature films such as the comedy "White Chicks."
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d06233588190942493b709e30820 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:47 p.m.