Triple
T13598187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronštein |
E324875
|
entity |
| Predicate | isRelatedSurname |
P3889
|
FINISHED |
| Object | Bronstein |
E64091
|
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: Bronstein | Statement: [Bronštein, isRelatedSurname, Bronstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bronstein Context triple: [Bronštein, isRelatedSurname, Bronstein]
-
A.
Bronstein
chosen
Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
-
B.
Brackman
Brackman is a character in John Grisham’s legal thriller novel "The Street Lawyer," involved in the story’s exploration of law, morality, and homelessness.
-
C.
Lowenstein
Lowenstein is a surname of German origin, often associated with Jewish families and various notable individuals in fields such as politics, academia, and the arts.
-
D.
Bronštein
Bronštein is a variant spelling of the surname Bronstein, commonly associated with Ashkenazi Jewish families and notable figures in fields such as chess, science, and the arts.
-
E.
Arnstein
Arnstein is a town in the Mansfeld-Südharz district of Saxony-Anhalt, Germany, formed through the merger of several smaller municipalities.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942c7f948190a62a8d2f69262ef3 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:49 p.m.