Triple
T16627838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvyn R. Leventhal |
E403996
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Leventhal
Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
|
E1224794
|
NE FINISHED |
How this triple was built (4 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: Leventhal | Statement: [Melvyn R. Leventhal, familyName, Leventhal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leventhal Context triple: [Melvyn R. Leventhal, familyName, Leventhal]
-
A.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
B.
Untermyer
Untermyer is a surname most notably associated with Samuel Untermyer, an influential American lawyer, civic leader, and progressive reform advocate of the early 20th century.
-
C.
Kupferberg
Kupferberg is a small town in the Bavarian region of Germany, known for its historical charm and location within the Franconian landscape.
-
D.
Pincus Green
Pincus Green is an American commodities trader best known as the longtime business partner of Marc Rich and co-founder of the influential trading firm Marc Rich & Co AG.
-
E.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Leventhal Triple: [Melvyn R. Leventhal, familyName, Leventhal]
Generated description
Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leventhal Target entity description: Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
-
A.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
B.
Untermyer
Untermyer is a surname most notably associated with Samuel Untermyer, an influential American lawyer, civic leader, and progressive reform advocate of the early 20th century.
-
C.
Kupferberg
Kupferberg is a small town in the Bavarian region of Germany, known for its historical charm and location within the Franconian landscape.
-
D.
Pincus Green
Pincus Green is an American commodities trader best known as the longtime business partner of Marc Rich and co-founder of the influential trading firm Marc Rich & Co AG.
-
E.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
- F. None of above. chosen
Provenance (5 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dba91bc819090a78ac4c0c01fc8 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e747eac81908b0b5a2072a177dd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.